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Comparison of quality measures for building outline extraction / Markéta Potůčková in Photogrammetric record, vol 31 n° 154 (June - August 2016)
[article]
Titre : Comparison of quality measures for building outline extraction Type de document : Article/Communication Auteurs : Markéta Potůčková, Auteur ; Peter Hofman, Auteur Année de publication : 2016 Article en page(s) : pp 193 - 209 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection automatique
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] estimation de précision
[Termes IGN] lasergrammétrie
[Termes IGN] qualité des donnéesRésumé : (auteur) To date, numerous automatic building detection methods using lidar data have been developed. However, in most cases the parameters used for the evaluation of the results are not specified, accuracy assessment results cannot be readily compared or no result evaluation is performed at all. In this study, accuracy assessment aspects have been analysed in order to find a generally applicable approach for the comparison of building outline extraction methods. An area-based evaluation of accuracy has been selected as the most suitable due to its robustness, predictability and comparability between datasets. This assessment can be further supplemented with both object- and area-based evaluations, procured solely with those buildings that were classified as true positives, in order to interpret the extraction results in more detail. In cases where a reference dataset of superior quality (such as low-altitude aerial imagery) is available, an absolute accuracy evaluation is also relevant. Numéro de notice : A2016-468 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12144 Date de publication en ligne : 17/06/2016 En ligne : https://doi.org/10.1111/phor.12144 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81474
in Photogrammetric record > vol 31 n° 154 (June - August 2016) . - pp 193 - 209[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2016021 RAB Revue Centre de documentation En réserve L003 Disponible Context-dependent detection of non-linearly distributed points for vegetation classification in airborne LiDAR / Denis Horvat in ISPRS Journal of photogrammetry and remote sensing, vol 116 (June 2016)
[article]
Titre : Context-dependent detection of non-linearly distributed points for vegetation classification in airborne LiDAR Type de document : Article/Communication Auteurs : Denis Horvat, Auteur ; Borut Žalik, Auteur ; Domen Mongus, Auteur Année de publication : 2016 Article en page(s) : pp 1 – 14 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de sensibilité
[Termes IGN] classification dirigée
[Termes IGN] détection automatique
[Termes IGN] distribution spatiale
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] méthode robuste
[Termes IGN] morphologie mathématique
[Termes IGN] prise en compte du contexte
[Termes IGN] végétation
[Termes IGN] zone ruraleRésumé : (auteur) This paper proposes a new method for the detection of vegetation in LiDAR data. As vegetation points are characterised by non-linear distributions, they are efficiently recognised based-on large errors obtained when applying the local fitting of planar surfaces. In addition, three contextual filters are introduced capable of dealing with those exceptions that do not conform with previous interpretations. Namely, they are designed for detecting overgrowing vegetation, small objects attached to the planar surfaces (such as balconies, chimneys, and noise within the buildings) and small objects that do not belong to vegetation (vehicles, statues, fences). During the validation, the proposed method achieved over 97% correctness as well as completeness of vegetation recognition in rural areas while its average accuracy in urban settings was 90.7% in terms of F1F1-scores. The method uses only three input parameters and allows for efficient compensation between completeness and correctness, without significantly affecting the F1F1-score. Sensitivity analysis of the method also confirmed the robustness against a sub-optimal definition of the input parameters. Numéro de notice : A2016-576 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.02.011 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.02.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81706
in ISPRS Journal of photogrammetry and remote sensing > vol 116 (June 2016) . - pp 1 – 14[article]Listening for RF noise : An analysis of pre-despreading GNSS interference detection techniques / Ali Jafarnia-Jahromi in Inside GNSS, vol 11 n° 3 (May - June 2016)
[article]
Titre : Listening for RF noise : An analysis of pre-despreading GNSS interference detection techniques Type de document : Article/Communication Auteurs : Ali Jafarnia-Jahromi, Auteur ; Nahal Fadaei, Auteur ; Saeed Daneshmand, Auteur ; Ali Broumandan, Auteur ; Gérard Lachapelle, Auteur Année de publication : 2016 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] analyse comparative
[Termes IGN] brouillage
[Termes IGN] détection automatique
[Termes IGN] interférence
[Termes IGN] radiofréquence
[Termes IGN] récepteur Galileo
[Termes IGN] récepteur GPS
[Termes IGN] signal Galileo
[Termes IGN] signal GPSRésumé : (auteur) Interference countermeasures are receiving increased attention in the GNSS community due, in part, to the advent of portable jamming modules. This article provides an overview on the vulnerability of GPS and Galileo receivers to continuous wave and chirp interference signals and compares the performance of interference-detection methods in terms of detection capability, detection latency, sensitivity to interference power, and computational and hardware complexity. Numéro de notice : A2016-597 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans En ligne : http://www.insidegnss.com/node/4955 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81778
in Inside GNSS > vol 11 n° 3 (May - June 2016)[article]A multi-scale plane-detection method based on the Hough transform and region growing / Xiaoxu Leng in Photogrammetric record, vol 31 n° 154 (June - August 2016)
[article]
Titre : A multi-scale plane-detection method based on the Hough transform and region growing Type de document : Article/Communication Auteurs : Xiaoxu Leng, Auteur ; Jun Xiao, Auteur ; Ying Wang, Auteur Année de publication : 2016 Article en page(s) : pp 166 - 192 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] détection automatique
[Termes IGN] modélisation 3D
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] traitement d'image
[Termes IGN] transformation de HoughRésumé : (auteur) The detection of planes from 3D point clouds plays an important role in fields such as 3D modelling, rock mechanics, registration and robotics. A multi-scale plane-detection method is proposed, based on extracting growth units using the Hough transform and subsequent region growing into actual plane boundaries. Because the approximate geometric features of the original plane area can be obtained from the growth units, discriminant conditions for adaptive plane growing could be provided for the growing stage. In order to detect physical planes at different scales, a strategy of multi-scale normal estimation is introduced. Simulated icosahedron point clouds, together with actual engineering point clouds, were used to test the performance of the proposed method. Experimental results show that planar point clouds could be detected effectively, especially with rock-mass engineering applications. Numéro de notice : A2016-467 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12145 Date de publication en ligne : 17/06/2016 En ligne : https://doi.org/10.1111/phor.12145 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81473
in Photogrammetric record > vol 31 n° 154 (June - August 2016) . - pp 166 - 192[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2016021 RAB Revue Centre de documentation En réserve L003 Disponible Toward a generalizable image representation for large-scale change detection : application to generic damage analysis / Lionel Gueguen in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
[article]
Titre : Toward a generalizable image representation for large-scale change detection : application to generic damage analysis Type de document : Article/Communication Auteurs : Lionel Gueguen, Auteur ; Raffay Hamid, Auteur Année de publication : 2016 Article en page(s) : pp 3378 - 3387 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse combinatoire (maths)
[Termes IGN] analyse spatiale
[Termes IGN] codage
[Termes IGN] détection automatique
[Termes IGN] géovisualisation
[Termes IGN] image à haute résolution
[Termes IGN] image multicapteurRésumé : (Auteur) Each year, multiple catastrophic events impact vulnerable populations around the planet. Assessing the damage caused by these events in a timely and accurate manner is crucial for efficient execution of relief efforts to help the victims of these calamities. Given the low accessibility of the damaged areas, high-resolution optical satellite imagery has emerged as a valuable source of information to quickly asses the extent of damage by manually analyzing the pre- and postevent imagery of the region. To make this analysis more efficient, multiple learning techniques using a variety of image representations have been proposed. However, most of these representations are prone to variabilities in capture angle, sun location, and seasonal variations. To evaluate these representations in the context of damage detection, we present a benchmark of 86 pre- and postevent image pairs with respective reference data derived from United Nation Operational Satellite Applications Programme (UNOSAT) assessment maps, spanning a total area of 4665 km2 from 11 different locations around the world. The technical contribution of our work is a novel image representation based on shape distributions of image patches encoded with locality-constrained linear coding. We empirically demonstrate that our proposed representation provides an improvement of at least 5%, in equal error rate, over alternate approaches. Finally, we present a thorough robustness analysis of the considered representational schemes, with respect to capture-angle variabilities and multiple sensor combinations. Numéro de notice : A2016-852 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2516402 En ligne : https://doi.org/10.1109/TGRS.2016.2516402 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82986
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 6 (June 2016) . - pp 3378 - 3387[article]Automatic detection and reconstruction of 2-D/3-D building shapes from spaceborne TomoSAR point clouds / Muhammad Shahzad in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkDetection and labeling of sensitive areas in hydrological cartography using vector statistics / Elia Quirós in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkForêts aléatoires pour la détection des feux tricolores à partir de profils de vitesse GPS / Yann Méneroux (2016)PermalinkQualification des données Stéréopolis et étude d'un algorithme de détection d'objets / Guillaume Curtet (2016)PermalinkThe art of seeing / Philippe Roy in GEO: Geoconnexion international, vol 15 n° 1 (January 2016)Permalink3D model construction in an urban environment from sparse LiDAR points and aerial photos : a statistical approach / Xuebin Wei in Geomatica, vol 69 n° 3 (september 2015)PermalinkDetection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation / Przemyslaw Polewski in ISPRS Journal of photogrammetry and remote sensing, vol 105 (July 2015)PermalinkPermalinkDetection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources / Stefan Ivanovic (2015)PermalinkPermalinkAutomatic detection of elevation changes by differential DSM analysis: application to urban areas / Cyrielle Guerin in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 7 n° 10 (October 2014)PermalinkA practical target recognition system for close range photogrammetry / M.R. Shortis in Photogrammetric record, vol 29 n° 147 (September - November 2014)PermalinkShadow detection of man-made buildings in high-resolution panchromatic satellite images / Mohamed I. Elbakary in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)PermalinkBayesian approach to tree detection based on airborne laser scanning data / Timo Lähivaara in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)PermalinkChange detection in high-resolution land use/land cover geodatabases (at object level) / Emilio Domenech (01/04/2014)PermalinkAn algorithm for automatic detection of pole-like street furniture objects from Mobile Laser Scanner point clouds / C. Cabo in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkAutomatic detection of a one dimensional ranging pole for robust external camera calibration in mobile mapping / Koen Douterloigne in ISPRS Journal of photogrammetry and remote sensing, vol 86 (December 2013)PermalinkAutomated detection of slum area change in Hyderabad, India using multitemporal satellite imagery / Oleksandr Kit in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)PermalinkDétection d'incohérences de niveau de détail dans des données collaboratives / Guillaume Touya in Cartes & Géomatique, n° 217 (septembre 2013)PermalinkProgress in marine oil spill optical remote sensing: Detected targets, spectral response characteristics, and theories / Lu yingcheng in Marine geodesy, vol 36 n° 3 (September - November 2013)PermalinkA novel technique for the automatic detection of surface clutter returns in radar sounder data / Adam Ferro in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)PermalinkThe influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans / Pyare Pueschel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkAutomated delineation of individual tree crowns from lidar data by multi-scale analysis and segmentation / L. Jing in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 12 (December 2012)PermalinkA wavelet spectral analysis technique for automatic detection of geomagnetic sudden commencements / E. Ghamry in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)PermalinkAutomatic detection and segmentation of orchards using very high resolution imagery / Selim Aksoy in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkExtraction of vineyards out of aerial photo-image using texture information / Arnaud Le Bris in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)PermalinkBuilding detection in complex scenes thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)PermalinkA fuzzy index for detecting spatiotemporal outliers / George Grekousis in Geoinformatica, vol 16 n° 3 (July 2012)PermalinkA framework for automatic and unsupervised detection of multiple changes in multitemporal images / Francesca Bovolo in IEEE Transactions on geoscience and remote sensing, vol 50 n° 6 (June 2012)PermalinkA first set of techniques to detect radio frequency interferences and mitigate their impact on SMOS data / R. Castro in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)PermalinkAutomated detection of prehistorical rock art features aided by TLS and 2D data co-registration / Jean-Baptiste Lamontre (2012)PermalinkGiving the ‘right’ route directions : the requirements for pedestrian navigation systems / C. Schroder in Transactions in GIS, vol 15 n° 3 (July 2011)PermalinkEdge enhancement algorithm based on the wavelet transform for automatic edge detection InSAR images / Mariví Tello Alonso in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 1 (January 2011)PermalinkAutomatic detection and tracking of pedestrians from a moving stereo rig / Konrad Schindler in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 6 (November - December 2010)PermalinkDétection de dommages et évaluation des dégâts du réseau routier après un séisme, en utilisant des images QuickBird haute résolution / A. Haghighattalab in XYZ, n° 124 (septembre - novembre 2010)Permalink2D building change detection from high resolution satellite imagery: A two-step hierarchical method based on 3D invariant primitives / Nicolas Champion in Pattern recognition letters, vol 31 n° 10 (15 July 2010)PermalinkDetection of sinkhole hazards using Airborne Laser Scanning Data / S. Filin in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 5 (May 2010)PermalinkGeneration of complex polyhedral building models by integrating stereo-aerial imagery and Lidar data / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 5 (May 2010)PermalinkSegmentation et interprétation de nuages de points pour la modélisation d'environnements urbains / J. Hernandez in Revue Française de Photogrammétrie et de Télédétection, n° 191 (Mai 2010)PermalinkA DEM generalization by minor valley branch detection and grid filling / Tinghua Ai in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)PermalinkAutomatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge / M. Bouziani in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 1 (January - February 2010)PermalinkMotion blur detection in aerial images shot with channel-dependent exposure time / Lâmân Lelégard (2010)PermalinkPermalinkA matching algorithm for detecting land use changes using case-based reasoning / X. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 11 (November 2009)PermalinkRapid mapping of high resolution SAR scenes / F. Dell'acqua in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)Permalink