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Forest road extraction from orthophoto images by convolutional neural networks / Erhan Çalişkan in Geocarto international, vol 38 n° inconnu ([01/01/2023])
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[article]
Titre : Forest road extraction from orthophoto images by convolutional neural networks Type de document : Article/Communication Auteurs : Erhan Çalişkan, Auteur ; Yusuf Sevim, Auteur Année de publication : 2023 Article en page(s) : pp Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] chemin forestier
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] extraction automatique
[Termes IGN] orthoimage
[Termes IGN] segmentation sémantiqueRésumé : (auteur) Continuous monitoring of the forest road infrastructure and keeping track of the changes occurred are important for forestry practices, map updating, forest fire and forest transport decision support systems. In this context, the most of up to date data can be obtained by automatic forest road extraction from satellite images via machine learning (ML). Acquiring sufficient data is one of the most important factors which affect the success of ML and deep learning (DL). DL architectures yield more consistent results for complex data sets compared with ML algorithms. In the present study, three different deep learning (Resnet-18, MobileNet-V2 and Xception) architectures with semantic segmentation architecture were compared for extracting the forest road network from high-resolution orthophoto images and the results were analyzed. The architectures were evaluated through a multiclass statistical analysis based precision, recall, F1 score, intersection over union and overall accuracy (OA). The results present significant values obtained by the Resnet-18 architecture, with 99.72% of OA and 98.87% of precision and by the MobileNet-V2 architecture, with 97.76% of OA and 98.28% of precision. Also the results show that Resnet-18, MobileNet-V2 semantic segmentation architectures can be used efficiently for forest road extraction. Numéro de notice : A2022-159 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article DOI : 10.1080/10106049.2022.2060319 Date de publication en ligne : 06/04/2022 En ligne : https://doi.org/10.1080/10106049.2022.2060319 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100380
in Geocarto international > vol 38 n° inconnu [01/01/2023] . - pp[article]Modern vectorization and alignment of historical maps: An application to Paris Atlas (1789-1950) / Yizi Chen (2023)
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Titre : Modern vectorization and alignment of historical maps: An application to Paris Atlas (1789-1950) Titre original : Vectorisation et alignement modernes des cartes historiques : Une application à l'Atlas de Paris (1789-1950) Type de document : Thèse/HDR Auteurs : Yizi Chen , Auteur ; Julien Perret
, Directeur de thèse ; Joseph Chazalon, Directeur de thèse ; Clément Mallet
, Directeur de thèse
Editeur : Champs-sur-Marne [France] : Université Gustave Eiffel Année de publication : 2023 Importance : 124 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] alignement des données
[Termes IGN] apprentissage profond
[Termes IGN] carte ancienne
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] contraste local
[Termes IGN] extraction automatique
[Termes IGN] jeu de données localisées
[Termes IGN] morphologie mathématique
[Termes IGN] Paris (75)
[Termes IGN] plan de ville
[Termes IGN] reconnaissance de formes
[Termes IGN] vectorisation
[Termes IGN] vision par ordinateurRésumé : (auteur) Les cartes sont une source unique de connaissances depuis des siècles. Ces documents historiques fournissent des informations inestimables pour analyser des transformations spatiales complexes sur des périodes importantes. Cela est particulièrement vrai pour les zones urbaines qui englobent de multiples domaines de recherche imbriqués : humanités, sciences sociales, etc. La complexité des cartes (texte, bruit, artefacts de numérisation, etc.) a entravé la capacité à proposer des approches de vectorisation polyvalentes et efficaces pendant des décennies. Dans cette thèse, nous proposons une solution apprenable, reproductible et réutilisable pour la transformation automatique de cartes raster en objets vectoriels (îlots, rues, rivières), en nous focalisant sur le problème d'extraction de formes closes. Notre approche s'appuie sur la complémentarité des réseaux de neurones convolutifs qui excellent dans et de la morphologie mathématique, qui présente de solides garanties au regard de l'extraction de formes closes tout en étant très sensible au bruit. Afin d'améliorer la robustesse au bruit des filtres convolutifs, nous comparons plusieurs fonctions de coût visant spécifiquement à préserver les propriétés topologiques des résultats, et en proposons de nouvelles. À cette fin, nous introduisons également un nouveau type de couche convolutive (CConv) exploitant le contraste des images, pour explorer les possibilités de telles améliorations à l'aide de transformations architecturales des réseaux. Finalement, nous comparons les différentes approches et architectures qui peuvent être utilisées pour implémenter chaque étape de notre chaîne de traitements, et comment combiner ces dernières de la meilleure façon possible. Grâce à une chaîne de traitement fonctionnelle, nous proposons une nouvelle procédure d'alignement d'images de plans historiques, et commençons à tirer profit de la redondance des données extraites dans des images similaires pour propager des annotations, améliorer la qualité de la vectorisation, et éventuellement détecter des cas d'évolution en vue d'analyse thématique, ou encore l'estimation automatique de la qualité de la vectorisation. Afin d'évaluer la performance des méthodes mentionnées précédemment, nous avons publié un nouveau jeu de données composé d'images de plans historiques annotées. C'est le premier jeu de données en libre accès dédié à la vectorisation de plans historiques. Nous espérons qu'au travers de nos publications, et de la diffusion ouverte et publique de nos résultats, sources et jeux de données, cette recherche pourra être utile à un large éventail d'applications liées aux cartes historiques. Note de contenu : 1- Introduction
2- Pipeline design for historical map vectorization
3- Learning edges through deep neural architectures
4- Topology-aware loss functions
5- Improving model robustness of deep edge detectors
6- Leveraging redundancies of historical maps
7- Conclusion and perspectivesNuméro de notice : 10713 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : IMAGERIE/INFORMATIQUE Nature : Thèse française Note de thèse : thèse de doctorat : Sciences géographiques : UGE : 2023 Organisme de stage : LASTIG (IGN) nature-HAL : Thèse DOI : sans En ligne : https://theses.hal.science/tel-04106107 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103264 GA-Net: A geometry prior assisted neural network for road extraction / Xin Chen in International journal of applied Earth observation and geoinformation, vol 114 (November 2022)
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Titre : GA-Net: A geometry prior assisted neural network for road extraction Type de document : Article/Communication Auteurs : Xin Chen, Auteur ; Qun Sun, Auteur ; Wenyue Guo, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 103004 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] attention (apprentissage automatique)
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] détection de contours
[Termes IGN] données multiéchelles
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] extraction du réseau routier
[Termes IGN] jeu de données
[Termes IGN] Massachusetts (Etats-Unis)Résumé : (auteur) With geospatial intelligence research developing rapidly, automatic road extraction is becoming a fundamental and challenging task. Due to the special geometric structure and spectral information of road networks, existing methods suffer from incomplete and fractured results. In this work, a novel road extraction convolutional neural network, incorporating the road boundary details and road junction information via a dual-branch multi-task structure, is proposed to learn synergistic feature representations and strengthen road connectivity. Firstly, a BiFPN-based feature aggregation module is utilised to bridge the semantic gap between low-level and high-level feature maps, allowing multi-scale spatial details to be fully fused. Secondly, the boundary auxiliary branch, using a U-shaped network with a spatial-channel attention module, captures residential information for the backbone to enhance the subtleties of road edges. Thirdly, the node inferring branch models the road junction position jointly with the road surface, aiming to strengthen the topology structure and reduce the fragmented road segments. We perform experiments on three diverse road datasets, namely the DeepGlobe dataset, Massachusetts dataset, and SpaceNet dataset. The results demonstrate that our model shows an overall performance improvement over some SOTA algorithms and the IoU indicator achieves 3.86%, 0.79%, and 1.71% improvements over Unet on the three datasets, respectively. Numéro de notice : A2022-785 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.jag.2022.103004 En ligne : https://doi.org/10.1016/j.jag.2022.103004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101888
in International journal of applied Earth observation and geoinformation > vol 114 (November 2022) . - n° 103004[article]Research on machine intelligent perception of urban geographic location based on high resolution remote sensing images / Jun Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 88 n° 4 (April 2022)
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Titre : Research on machine intelligent perception of urban geographic location based on high resolution remote sensing images Type de document : Article/Communication Auteurs : Jun Chen, Auteur ; Cunjian Yang, Auteur ; Zengyang Yu, Auteur Année de publication : 2022 Article en page(s) : pp 223 - 231 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données
[Termes IGN] Chine
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] cognition
[Termes IGN] détection d'objet
[Termes IGN] extraction automatique
[Termes IGN] géolocalisation
[Termes IGN] image à haute résolution
[Termes IGN] intelligence artificielle
[Termes IGN] reconnaissance automatique
[Termes IGN] zone urbaineRésumé : (auteur) Machine intelligent perception (MIP) provides a novel way for human beings to recognize geographical locations automatically. MIP of geographical locations enables computers to describe locations automatically and quantitatively by extracting Earth's surface features and building relationships. The earth surface fingerprint is established here by mining the relationship between spatial objects with stable characteristics extracted from urban high-resolution remote sensing images, which realizes intelligent perception of geographical location innovatively. Mask Region-based Convolutional Neural Network is used to automatically extract the spatial objects such as playgrounds, crossroads, and bridges from the images. Then, the extracted spatial objects are encoded according to the landuse type, distance, and angle of 24 nearest objects to construct urban surface fingerprint database. The urban surface fingerprint database is used to match the geographical location of spatial objects in local images so that the matching algorithm can be used for machine recognition of the geographical location of specific objects in the target image. Taking the main cities in China as the experimental area, the success rate of location perception is 92%. We have made a useful exploration in the field of MIP of geographical location, hoping to promote the development of human cognition of geographical location. Numéro de notice : A2022-285 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.21-00017R3 Date de publication en ligne : 04/04/2022 En ligne : https://doi.org/10.14358/PERS.21-00017R3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100319
in Photogrammetric Engineering & Remote Sensing, PERS > vol 88 n° 4 (April 2022) . - pp 223 - 231[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2022041 SL Revue Centre de documentation Revues en salle Disponible Automatic extraction of building geometries based on centroid clustering and contour analysis on oblique images taken by unmanned aerial vehicles / Leilei Zhang in International journal of geographical information science IJGIS, vol 36 n° 3 (March 2022)
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Titre : Automatic extraction of building geometries based on centroid clustering and contour analysis on oblique images taken by unmanned aerial vehicles Type de document : Article/Communication Auteurs : Leilei Zhang, Auteur ; Guoxin Wang, Auteur ; Weijian Sun, Auteur Année de publication : 2022 Article en page(s) : pp 453 - 475 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] classification barycentrique
[Termes IGN] classification non dirigée
[Termes IGN] détection de contours
[Termes IGN] détection du bâti
[Termes IGN] extraction automatique
[Termes IGN] image captée par drone
[Termes IGN] image oblique
[Termes IGN] modèle numérique de surface
[Termes IGN] orthophotocarte
[Termes IGN] précision géométrique (imagerie)Résumé : (auteur) This paper introduces a method based on centroid clustering and contour analysis to extract area and height measurements on buildings from the 3D model generated by oblique images. The method comprises three steps: (1) extract the contour plane from the fused data of the digital surface model (DSM) and digital orthophoto map (DOM); (2) identify building contour clusters based on the number of centroids contained in each category determined by mean-shift centroid clustering; (3) remove the mis-identified contours in a given building contour cluster by a contour analysis and obtain the geometric information of the building using map algebra. The proposed approach was tested against four datasets. Compared with other results, the detection has effective completeness, correctness, quality, and higher geometric accuracy. The maximum average relative error of building height and area extraction is less than 8%. The method is fast for a large-scale collection of building attributes and improves the applicability of oblique photography in GIS. Numéro de notice : A2022-205 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2021.1937632 Date de publication en ligne : 14/06/2021 En ligne : https://doi.org/10.1080/13658816.2021.1937632 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100020
in International journal of geographical information science IJGIS > vol 36 n° 3 (March 2022) . - pp 453 - 475[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2022031 SL Revue Centre de documentation Revues en salle Disponible Automatic extraction of damaged houses by earthquake based on improved YOLOv5: A case study in Yangbi / Yafei Jing in Remote sensing, vol 14 n° 2 (January-2 2022)
PermalinkAutomated construction of a French Entity Linking dataset to geolocate social network posts in the context of natural disasters / Gaëtan Caillaut (2022)
PermalinkPoint clouds for use in Building Information Models (BIM) / Robert Klinc in Geodetski vestnik, vol 65 n° 4 (December 2021 - February 2022)
PermalinkA deep multi-modal learning method and a new RGB-depth data set for building roof extraction / Mehdi Khoshboresh Masouleh in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 10 (October 2021)
PermalinkExtraction of impervious surface using Sentinel-1A time-series coherence images with the aid of a Sentinel-2A image / Wenfu Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 3 (March 2021)
PermalinkPermalinkA hybrid deep learning–based model for automatic car extraction from high-resolution airborne imagery / Mehdi Khoshboresh Masouleh in Applied geomatics, vol 12 n° 2 (June 2020)
PermalinkObject-based automatic multi-index built-up areas extraction method for WorldView-2 satellite imagery / Zhenhui Sun in Geocarto international, Vol 35 n° 8 ([01/06/2020])
PermalinkPolarimetric SAR calibration and residual error estimation when corner reflectors are unavailable / Lei Shi in IEEE Transactions on geoscience and remote sensing, vol 58 n° 6 (June 2020)
PermalinkIntegration of remote sensing and GIS to extract plantation rows from a drone-based image point cloud digital surface model / Nadeem Fareed in ISPRS International journal of geo-information, vol 9 n° 3 (March 2020)
PermalinkSea-land segmentation using deep learning techniques for Landsat-8 OLI imagery / Ting Yang in Marine geodesy, Vol 43 n° 2 (March 2020)
PermalinkAutomated extraction of lane markings from mobile LiDAR point clouds based on fuzzy inference / Heidar Rastiveis in ISPRS Journal of photogrammetry and remote sensing, vol 160 (February 2020)
PermalinkPermalinkAn indoor navigation model and its network extraction / Filippo Mortari in Applied geomatics, Vol 11 n° 4 (December 2019)
PermalinkExtracting urban landmarks from geographical datasets using a random forests classifier / Yue Lin in International journal of geographical information science IJGIS, vol 33 n° 12 (December 2019)
PermalinkMapping urban fingerprints of odonyms automatically extracted from French novels / Ludovic Moncla in International journal of geographical information science IJGIS, vol 33 n° 12 (December 2019)
PermalinkAccurate detection of built-up areas from high-resolution remote sensing imagery using a fully convolutional network / Yihua Tan in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)
PermalinkAutomatic extraction of accurate 3D tie points for trajectory adjustment of mobile laser scanners using aerial imagery / Zille Hussnain in ISPRS Journal of photogrammetry and remote sensing, vol 154 (August 2019)
PermalinkBuilding detection and regularisation using DSM and imagery information / Yousif A. Mousa in Photogrammetric record, vol 34 n° 165 (March 2019)
PermalinkLand cover classification in combined elevation and optical images supported by OSM data, mixed-level features, and non-local optimization algorithms / Dimitri Bulatov in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 3 (March 2019)
PermalinkWebscraping, bigdata et analyse spatiale de données immobilières : réponse à un projet ESPON au sein de l'UMS RIATE / Marc Lieury (2019)
PermalinkFictive motion extraction and classification / Ekaterina Egorova in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)
PermalinkNovel fusion approach on automatic object extraction from spatial data: case study Worldview-2 and TOPO5000 / Umut Gunes Sefercik in Geocarto international, vol 33 n° 10 (October 2018)
PermalinkPedestrian network information extraction based on VGI / Xuejing Xie in Geomatica, vol 72 n° 3 (September 2018)
PermalinkA deep learning approach to DTM extraction from imagery using rule-based training labels / Caroline M. Gevaert in ISPRS Journal of photogrammetry and remote sensing, vol 142 (August 2018)
PermalinkDésambiguïsation des entités spatiales par apprentissage actif / Amal Chihaoui in Revue internationale de géomatique, vol 28 n° 2 (avril - juin 2018)
PermalinkGenerating vague neighbourhoods through data mining of passive web data / Paul Brindley in International journal of geographical information science IJGIS, vol 32 n° 3-4 (March - April 2018)
PermalinkMultisource remote sensing data classification based on convolutional neural network / Xiaodong Xu in IEEE Transactions on geoscience and remote sensing, vol 56 n° 2 (February 2018)
PermalinkAutomated delineation of wildfire areas using Sentinel-2 satellite imagery / Mira Weirather in GI Forum, vol 2018 n° 1 ([01/01/2018])
PermalinkFusion tardive d’images SPOT-6/7 et de données multitemporelles Sentinel-2 pour la détection de la tache urbaine / Cyril Wendl (2018)
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PermalinkGéolocalisation précise basée image : une approche de type “seconde itération du processus photogrammétrique” / Truong Giang Nguyen (2018)
PermalinkComparison of Landsat-8, ASTER and Sentinel 1 satellite remote sensing data in automatic lineaments extraction: A case study of Sidi Flah-Bouskour inlier, Moroccan Anti Atlas / Zakaria Adiri in Advances in space research, vol 60 n° 11 (1 December 2017)
PermalinkTowards a multi-scale approach for an Earth observation-based assessment of natural resource exploitation in conflict regions / Elisabeth Schoepfer in Geocarto international, vol 32 n° 10 (October 2017)
PermalinkA graph-based approach to detect spatiotemporal dynamics in satellite image time series / Fabio Guttler in ISPRS Journal of photogrammetry and remote sensing, vol 130 (August 2017)
PermalinkSimultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks / Rasha Alshehhi in ISPRS Journal of photogrammetry and remote sensing, vol 130 (August 2017)
PermalinkAnalytical and numerical investigations on the accuracy and robustness of geometric features extracted from 3D point cloud data / André Dittrich in ISPRS Journal of photogrammetry and remote sensing, vol 126 (April 2017)
PermalinkIndustrialisation des processus d'extraction d'objets à partir de données photogrammétriques par drones / Jérémie Brossard in XYZ, n° 150 (mars - mai 2017)
PermalinkObject-based water body extraction model using Sentinel-2 satellite imagery / Gordana Kaplan in European journal of remote sensing, vol 50 n° 1 (2017)
PermalinkRaft cultivation area extraction from high resolution remote sensing imagery by fusing multi-scale region-line primitive association features / Wang Min in ISPRS Journal of photogrammetry and remote sensing, vol 123 (January 2017)
PermalinkTélédétection pour l'observation des surfaces continentales, Volume 1. Observation des surfaces continentales par télédétection optique / Nicolas Baghdadi (2017)
PermalinkExtracting building patterns with multilevel graph partition and building grouping / Shihong Du in ISPRS Journal of photogrammetry and remote sensing, vol 122 (December 2016)
PermalinkHyperspectral feature extraction using total variation component analysis / Behnood Rasti in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)
PermalinkAutomatic extraction of road networks from GPS traces / Jia Qiu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 8 (August 2016)
PermalinkSupervised classification of very high resolution optical images using wavelet-based textural features / Olivier Regniers in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
PermalinkKernel-based domain-invariant feature selection in hyperspectral images for transfer learning / Claudio Persello in IEEE Transactions on geoscience and remote sensing, vol 54 n° 5 (May 2016)
PermalinkActive-metric learning for classification of remotely sensed hyperspectral images / Edoardo Pasolli in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)
PermalinkFusion of hyperspectral images and digital surface models for urban object extraction / Janja Avbelj (2016)
PermalinkMise en place de procédures automatiques en vue d’accélérer la production des plans topographiques au sein de l’entreprise Techni Drone / Kévin Javerliat (2016)
PermalinkRoad vectorisation from high-resolution imagery based on dynamic clustering using particle swarm optimisation / Fateme Ameri in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)
PermalinkDistinctive order based self-similarity descriptor for multi-sensor remote sensing image matching / Amin Sedaghat in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)
PermalinkMeasuring the effectiveness of various features for thematic information extraction from very high resolution remote sensing imagery / X. Chen in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)
PermalinkSemisupervised transfer component analysis for domain adaptation in remote sensing image classification / Giona Matasci in IEEE Transactions on geoscience and remote sensing, vol 53 n° 7 (July 2015)
PermalinkVectorisation automatique des forêts dans les minutes de la carte d’état-major du 19e siècle / Pierre-Alexis Herrault in Revue internationale de géomatique, vol 25 n° 1 (mars - mai 2015)
Permalinkvol 25 n° 1 - mars - mai 2015 - Traitement de l'information et prospective (Bulletin de Revue internationale de géomatique) / Françoise Gourmelon
PermalinkIn-flight photogrammetric camera calibration and validation via complementary lidar / A.S. Gneeniss in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
PermalinkRadiometric and geometric evaluation of GeoEye-1, WorldView-2 and Pléiades-1A stereo images for 3D information extraction / Daniela Poli in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
PermalinkPermalinkExtraction de fragments forestiers et caractérisation de leurs évolutions spatio-temporelles pour évaluer l'effet de l'histoire sur la biodiversité : une approche multi-sources / Pierre-Alexis Herrault (2015)
PermalinkHierarchical extraction of urban objects from mobile laser scanning data / Bisheng Yang in ISPRS Journal of photogrammetry and remote sensing, vol 99 (January 2015)
PermalinkAutomatic building extraction using a fuzzy active contour model / Mostafa Kabolizade in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 11 (November 2014)
PermalinkPer-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery / Mustafa Neamah Jebur in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
PermalinkApport de l'imagerie satellitaire à haute et très haute résolution pour la recherche d'indices de drainage superficiel : Application aux aires d'alimentation de captage (AAC) d'eau potable / Sébastien Rucquoi in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)
PermalinkDetecting cars in UAV images with a catalog-based approach / Thomas Moranduzzo in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)
PermalinkGround and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces / Domen Mongus in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)
PermalinkComparaison de méthodes d'extraction automatique à partir d'images multispectrales / Valerio Baiocchi in Géomatique expert, n° 96 (01/01/2014)
PermalinkUsing mobile laser scanning data for automated extraction of road markings / Haiyan Guan in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
PermalinkAn automated algorithm for extracting road edges from terrestrial mobile LiDAR data / Pankaj Kumar in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)
PermalinkSingle tree biomass modelling using airborne laser scanning / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)
PermalinkPedestrian network extraction from fused aerial imagery (orthoimages) and laser imagery (lidar) / Piyawan Kasemsuppakorn in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)
PermalinkPermalinkComparaison et évaluation de méthodes d'extraction automatique d'objets sur des images optique et radar / Charlotte Benedetto (2013)
PermalinkPermalinkPermalinkAutomatic co-registration of satellite time series / M. Gianinetto in Photogrammetric record, vol 27 n° 140 (December 2012 - February 2013)
PermalinkA vector sift detector for interest point detection in hyperspectral imagery / L. Dorado-Munoz in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)
PermalinkAn automated system for image-to-vector georeferencing / Y. Li in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)
PermalinkAssessment of a photogrammetric approach for urban DSM extraction from tri-stereoscopic satellite imagery / F. Tack in Photogrammetric record, vol 27 n° 139 (September - November 2012)
PermalinkThe influence of subpixel measurement on digital camera calibration / Mauricio Galo in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)
PermalinkAutomatic extraction of road markings from mobile Lidar point clouds / B. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)
PermalinkPermalinkExtraction of building roof contours from LiDAR data using a Markov-random-field-based approach / E. Dos Santos Galvanin in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)
PermalinkPermalinkAutomated damage indication for rapid geospatial reporting / D. Tiede in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)
PermalinkExtraction des courbes de niveau cartographiques à partir d'un modèle numérique de terrain (MNT) / Kusay Jaara in Cartes & Géomatique, n° 209 (septembre 2011)
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PermalinkA multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)
PermalinkApproche non supervisée par processus ponctuels marqués pour l'extraction d'objets à partir d'images aériennes et satellitaires / S. Ben Hadj in Revue Française de Photogrammétrie et de Télédétection, n° 194 (Mai 2011)
PermalinkA new solution to the relative orientation problem using only 3 points and the vertical direction / Mahzad Kalantari in Journal of Mathematical Imaging and Vision, vol 39 n° 3 (March 2011)
PermalinkImpervious surface area extraction from IKONOS imagery using an object-based fuzzy method / Xuefei Hu in Geocarto international, vol 26 n° 1 (February 2011)
PermalinkDétection de changement 2D à partir d’imagerie satellitaire : Application à la mise à jour des bases de données géographiques / Nicolas Champion (2011)
PermalinkExtraction automatique des discontinuités planes à partir d'une scannérisation laser 3D en milieu rocheux / Souhail Hajri in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)
PermalinkUsing aerial imagery and GIS in automated building footprint extraction and shape recognition for earthquake risk assessment of urban inventories / L. Sahar in IEEE Transactions on geoscience and remote sensing, vol 48 n° 9 (September 2010)
PermalinkDigital urban morphometrics : Automatic extraction and assessment of morphological properties of buildings / Claudio Carneiro in Transactions in GIS, vol 14 n° 4 (August 2010)
Permalink3D road marking reconstruction from street-level calibrated stereo pairs / Bahman Soheilian in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)
PermalinkExploiting geographic references of documents in a geographical information retrieval system using an ontology-based index / N. Brisaboa in Geoinformatica, vol 14 n° 3 (July 2010)
PermalinkTen years of technology advancement in remote sensing and the research in the CRC-AGIP in GCE / Y. Zhang in Geomatica, vol 64 n° 2 (June 2010)
PermalinkDelineation and geometric modeling of road networks / C. Poullis in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)
PermalinkDétection d'empreintes de bâtiments dans un modèle numérique d'élévation : une approche énergétique / Olivier Tournaire (2010)
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PermalinkPermalinkExtraction of vertical posts in 3D laser point clouds acquired in dense urban areas by a mobile mapping system / Sterenn Liberge (2010)
PermalinkPermalinkAutomated extraction of buildings from Ikonos imagery by integrating spectral and spatial information / X. Wang in Geomatica, vol 63 n° 3 (September 2009)
PermalinkAutomatic and accurate extraction of road intersections from raster maps / Yao-Yi Chiang in Geoinformatica, vol 13 n° 2 (June 2009)
PermalinkOcclusion-based methodology for the classification of Lidar Data / A.F. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)
PermalinkA region-based level set segmentation for automatic detection of man-made objects from aerial and satellite Images / K. Karatzalos in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)
PermalinkA hybrid measurement approach for close-range photogrammetry / Clive Simpson Fraser in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 3 (May - June 2009)
PermalinkAn adaptive approach to topographic feature extraction from Digital Terrain Models / Y. Song in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 3 (March 2009)
PermalinkApport des règles d'association spatiales pour l'alimentation automatique des bases de données géographiques / S.Y. Turki in Revue internationale de géomatique, vol 19 n° 1 (mars – mai 2009)
PermalinkCMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
PermalinkCMRT09, Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
PermalinkExtracting composite cartographic area features in low-quality maps / S. Leyk in Cartography and Geographic Information Science, vol 36 n° 1 (January 2009)
PermalinkPathway detection and geometrical description from ALS data in forested mountaneous area / Nicolas David (2009)
PermalinkRoad extraction for hazard management / Stefan Hinz in GIM international, vol 23 n° 1 (January 2009)
PermalinkExtraction of land cover themes from aerial ortho-images in mountainous areas using external information / Arnaud Le Bris in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
PermalinkRoad junction extraction from high-resolution aerial imagery / M. Ravanbakhsh in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
PermalinkHydroTools : outil pour la modélisation et l'extraction d'un réseau hydrologique / Imen Hentati in Géomatique expert, n° 65 (01/11/2008)
PermalinkA Polygonal approach for automation in extraction of serial modular roofs / Y. Avrahami in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)
PermalinkAutomatic building extraction from DEMs using an object approach and application to the 3D-city modeling / Florent Lafarge in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
PermalinkThe growing need for spatial ETL on data, technologies and convergence: spatial ETL (extracting, transforming, and loading) / D. Murray in Geoinformatics, vol 11 n° 3 (01/04/2008)
PermalinkObject extraction in photogrammetric computer vision / Helmut Mayer in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 2 (March - April 2008)
PermalinkExtracting urban road networks from high-resolution true orthoimage and Lidar / J. Youn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 2 (February 2008)
PermalinkMultisource classification using Support Vector Machines: an empirical comparison with Decision Tree and Neural Network classifiers / P. Watanachaturaporn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 2 (February 2008)
PermalinkPermalinkDetermination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data / U. Heiden in Remote sensing of environment, vol 111 n° 4 (28/12/2007)
PermalinkAn unbiased algorithm for detection of curvilinear structures in urban remote sensing images / Jinzheng Peng in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)
PermalinkDesigning and implementing software components for an automated mapping system / J.H. Yom in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
PermalinkMeasuring land development in urban regions using graph theoretical and conditional statistical features / C. Unsalan in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)
PermalinkDigital surface models from high-resolution satellite imagery / J. Poon in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)
Permalinkvol 17 n° 3-4 - septembre 2007 – février 2008 - Informations géographiques : structuration, extraction et utilisation [sélection de contributions du colloque international de géomatique et d'analyse spatiale, Strasbourg, 11-13 septembre 2006] (Bulletin de Revue internationale de géomatique) / Christiane Weber
PermalinkA concept for feature based data registration by simultaneous consideration of laser scanner data and photogrammetric images / A. Wendt in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)
PermalinkFeature extraction of hyperspectral images using wavelet and matching pursuit / Pai-Hui Hsu in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)
PermalinkData fusion of high-resolution satellite imagery and Lidar data for automatic building extraction / Gunho Sohn in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 1 (May 2007)
PermalinkGEOIRIS : GEOspatial Information Retrieval and Indexing System-content mining, semantics modeling, and complex queries / C.R. Shyu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 4 (April 2007)
PermalinkComparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data / S. Lu in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)
PermalinkOpen-source software-operated CMOS camera for real-time mapping / Hervé Gontran in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)
PermalinkTerrestrial and submerged aquatic vegetation mapping in Fire Island national seashore using high spatial resolution remote sensing data / Y. Wang in Marine geodesy, vol 30 n° 1-2 (March - June 2007)
PermalinkAutomatic extraction of urban vegetation structures from high resolution imagery and digital elevation models / Corina Iovan (2007)
PermalinkExtraction 3D de marquages routiers à partir d'images aériennes multi-vues et quelques applications / Olivier Tournaire (2007)
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PermalinkDetermination of exterior orientation using linear features from vector maps / Mika Karjalainen in Photogrammetric record, vol 21 n° 116 (December 2006 - February 2007)
PermalinkExtracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation / Charles K. Toth in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)
PermalinkAutomatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images / Y. Zhang in International Journal of Remote Sensing IJRS, vol 27 n°7-8 (April 2006)
PermalinkSegmentation of airborne laser scanning data using a slope adaptative neighbourhood / S. Filin in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)
PermalinkRoad extraction based on fuzzy logic and mathematical morphology from pan-sharpened Ikonos images / Ali Mohammadzadeh in Photogrammetric record, vol 21 n° 113 (March - May 2006)
PermalinkCouplage de données laser aéroporté et photogrammétriques pour l'analyse de scènes tridimensionnelles / Frédéric Bretar (2006)
PermalinkPermalinkOn the optimization and selection of wavelet texture for feature extraction from high-resolution satellite imagery with application towards urban-tree delineation / Y.O. Ouma in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
Permalinkn° 180 - Décembre 2005 - Des images aux 3D : extractions automatiques et assistées de modèles 3D, [Actes] Journées d'étude organisée par la SEE, le GDR ISIS et la SFPT, Paris, 16-17 juin 2005 (Bulletin de Revue Française de Photogrammétrie et de Télédétection) / Société française de photogrammétrie et de télédétection
PermalinkRectangular building extraction from stereoscopic airborne Radar images / Elisabeth Simonetto in IEEE Transactions on geoscience and remote sensing, vol 43 n° 10 (October 2005)
PermalinkOptimization approaches for generalization and data abstraction / Monika Sester in International journal of geographical information science IJGIS, vol 19 n° 8 - 9 (september 2005)
PermalinkMultivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty / Arko Lucieer in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)
PermalinkStructural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques / D.H.A. Khudhairy in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 7 (July 2005)
PermalinkNeural network model for standard PCA and its variants applied to remote sensing / S. Chitroub in International Journal of Remote Sensing IJRS, vol 26 n° 10 (May 2005)
PermalinkIntegration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data / L.O. Jimenez in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)
PermalinkA proposed framework for feature-level geospatial data sharing: a case study for transportation network data / Z.R. Peng in International journal of geographical information science IJGIS, vol 19 n° 4 (april 2005)
PermalinkThe utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery / Anne Puissant in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)
PermalinkExtraction d'éléments curvilignes guidée par des mécanismes attentionnels pour des images de télédétection : approche par fusion de données / Gilles Cotteret (2005)
PermalinkPlate-forme AFIA, Nice, 30 mai - 3 juin 2005, 5. Posters IC 2005, 16es Journées Francophones Ingénierie des Connaissances, 30 mai - 3 juin 2005, Nice, France / Marie-Christine Jaulent (2005)
PermalinkStrategy for extraction of 3D architectural objects from laser and image data acquired from the same viewpoint / Matthieu Deveau (2005)
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PermalinkAutomated road extraction from high resolution multispectral imagery / P. Doucette in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
PermalinkUn premier pas vers l'extraction de MNS urbains en interférometrie RSO à haute résolution par fusion de détecteurs / C. Tison in Revue Française de Photogrammétrie et de Télédétection, n° 176 (Décembre 2004)
PermalinkA wavelet transform based for road centerline extraction / Tianen Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
PermalinkL'extraction du bâti à partir d'images satellitaires THRS / Serge Lhomme in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)
PermalinkMorphologie mathématique et échelle : extraction du bâti à différentes résolutions spatiales / Claire Matti-Gallice in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)
PermalinkPhotogrammetric exploitation of Ikonos imagery for mapping applications / C. Vincent Tao in International Journal of Remote Sensing IJRS, vol 25 n° 14 (July 2004)
PermalinkFrom point-based to feature-based aerial triangulation / T. Schenk in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 5-6 (July 2004)
PermalinkAn advanced system for the automatic classification of multitemporal SAR images / Lorenzo Bruzzone in IEEE Transactions on geoscience and remote sensing, vol 42 n° 6 (June 2004)
PermalinkA model-based approach to semi-automated reconstruction of buildings from aerial images / Kourosh Khoshelham in Photogrammetric record, vol 19 n° 106 (June - August 2004)
PermalinkWavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping / R. Pu in Remote sensing of environment, vol 91 n° 2 (30/05/2004)
PermalinkNonparametric weighted feature extraction for classification / D.A. Landgrebe in IEEE Transactions on geoscience and remote sensing, vol 42 n° 5 (May 2004)
PermalinkAutomated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptative thresholding methods / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
PermalinkAutomatic highway extraction from high resolution imagery by an energy minimizing based perceptual grouping method / Xiangyun Hu in Geomatica, vol 58 n° 1 (March 2004)
PermalinkA wavelet approach to road extraction from high spatial resolution remotely-sensed imagery / Qiaoping Zhang in Geomatica, vol 58 n° 1 (March 2004)
PermalinkPermalinkPermalinkContribution à la reconstruction du bâti en milieu urbain, à l'aide d'images aériennes stéréoscopiques à grande échelle : étude d'une approche structurelle / Franck Taillandier (2004)
PermalinkPermalinkAutomatic satellite image georeferencing using a contour-matching approach / Francisco Eugenio in IEEE Transactions on geoscience and remote sensing, vol 41 n° 12 (December 2003)
PermalinkA cognitive pyramid for contextual classification of remote sensing images / E. Binaghi in IEEE Transactions on geoscience and remote sensing, vol 41 n° 12 (December 2003)
PermalinkData fusion and feature extraction in the wavelet domain / Magnus Orn Ulfarsson in International Journal of Remote Sensing IJRS, vol 24 n° 20 (October 2003)
PermalinkA neural adaptive model for feature extraction and recognition in high resolution remote sensing imagery / E. Binaghi in International Journal of Remote Sensing IJRS, vol 24 n° 20 (October 2003)
PermalinkAutonomous space resection using point- and line-based representation of free-form control linear features / A. Habib in Photogrammetric record, vol 18 n° 103 (September - November 2003)
PermalinkDTM extraction of Lidar returns via adaptive processing / H.S. Lee in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
PermalinkDetection of building outlines based on the fusion of SAR and optical features / Florence Tupin in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)
PermalinkA comparative analysis of scanned maps and imagery for mapping applications / Costas Armenakis in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 5-6 (April - May 2003)
PermalinkEvaluation quantitative de méthodes d'extraction de rues : choix d'une référence de comparaison / Renaud Péteri in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 170 (Avril 2003)
PermalinkExtraction automatique des réseaux linéiques a partir d'images satellitaires et aériennes par processus Markov objet / C. Lacoste in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 170 (Avril 2003)
PermalinkClass-guided building extraction from imagery / D. Scott Lee in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 2 (February /2003)
PermalinkPermalinkPermalinkPotential of reflected intensity of airborne laser scanning systems in roadway features identification / Kiyun Yu in Geomatica, vol 56 n° 4 (December 2002)
PermalinkRoad detection in dense urban areas using SAR imagery and the usefulness of multiple views / Florence Tupin in IEEE Transactions on geoscience and remote sensing, vol 40 n° 11 (November 2002)
PermalinkA robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction / B.C. Kuo in IEEE Transactions on geoscience and remote sensing, vol 40 n° 11 (November 2002)
PermalinkPermalinkSolutions for exterior orientation in photogrammetry: a review / Pierre Grussenmeyer in Photogrammetric record, vol 17 n° 100 (October 2002 - March 2003)
PermalinkUpdating solutions of the rational function model using additional control information / Y. Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 7 (July 2002)
PermalinkFuzzy logic system for road identification using Ikonos images / J. Amini in Photogrammetric record, vol 17 n° 99 (April - September 2002)
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