Centre de documentation
scientifique

Utility-pole detection based on interwoven column generation from terrestrial mobile Laser scanner data / Siamak Talebi Nahr in Photogrammetric record, Vol 36 n° 176 (December 2021)  

Public [article]  inPhotogrammetric record > Vol 36 n° 176 (December 2021) . - pp 402 - 424 Titre : Utility-pole detection based on interwoven column generation from terrestrial mobile Laser scanner data Type de document : Article/Communication Auteurs : Siamak Talebi Nahr, Auteur ; Mohammad Saadatseresht, Auteur Année de publication : 2021 Article en page(s) : pp 402 - 424 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] détection d'objet [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] équipement collectif [Termes IGN] exactitude des données [Termes IGN] exhaustivité des données [Termes IGN] lidar mobile [Termes IGN] mur [Termes IGN] objet géographique complexe [Termes IGN] objet géographique urbain [Termes IGN] partitionnement par bloc [Termes IGN] qualité des données [Termes IGN] réseau électrique [Termes IGN] scène urbaine Résumé : (Auteur) Mobile lidar scanning is one of the recent technologies that is used to map street scenes rapidly. Among street objects, utility-poles are more critical to energy companies to monitor regularly through time. This paper presents a novel approach to detect utility-poles from mobile lidar data in complex city scenes. After removing ground points, the scene is gridded into blocks based on a shared-partitioning algorithm. Next, an interwoven column generation algorithm is used to create columns. Finally, each of these columns is considered to be a utility-pole or not. The proposed algorithm is tested on two test areas. The algorithm achieved Completeness, Correctness and Quality of 92.8%, 97.5% and 90.6% in Area 1, and 92.8%, 92.2% and 86.1% in Area 2. The total number of utility-poles in both areas was 265. The algorithm shows promising results in utility-pole detection in complex city scenes with attached walls. Numéro de notice : A2021-916 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12394 Date de publication en ligne : 10/12/2021 En ligne : https://doi.org/10.1111/phor.12394 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99331 [article]

PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery / Xian Sun in ISPRS Journal of photogrammetry and remote sensing, vol 173 (March 2021)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 173 (March 2021) . - pp 50 - 65 Titre : PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery Type de document : Article/Communication Auteurs : Xian Sun, Auteur ; Peijin Wang, Auteur ; Cheng Wang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 50 - 65 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] apprentissage profond [Termes IGN] Chine [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] détection d'objet [Termes IGN] objet géographique complexe [Termes IGN] prise en compte du contexte [Termes IGN] rectangle englobant minimum Résumé : (auteur) In recent years, deep learning-based algorithms have brought great improvements to rigid object detection. In addition to rigid objects, remote sensing images also contain many complex composite objects, such as sewage treatment plants, golf courses, and airports, which have neither a fixed shape nor a fixed size. In this paper, we validate through experiments that the results of existing methods in detecting composite objects are not satisfying enough. Therefore, we propose a unified part-based convolutional neural network (PBNet), which is specifically designed for composite object detection in remote sensing imagery. PBNet treats a composite object as a group of parts and incorporates part information into context information to improve composite object detection. Correct part information can guide the prediction of a composite object, thus solving the problems caused by various shapes and sizes. To generate accurate part information, we design a part localization module to learn the classification and localization of part points using bounding box annotation only. A context refinement module is designed to generate more discriminative features by aggregating local context information and global context information, which enhances the learning of part information and improve the ability of feature representation. We selected three typical categories of composite objects from a public dataset to conduct experiments to verify the detection performance and generalization ability of our method. Meanwhile, we build a more challenging dataset about a typical kind of complex composite objects, i.e., sewage treatment plants. It refers to the relevant information from authorities and experts. This dataset contains sewage treatment plants in seven cities in the Yangtze valley, covering a wide range of regions. Comprehensive experiments on two datasets show that PBNet surpasses the existing detection algorithms and achieves state-of-the-art accuracy. Numéro de notice : A2021-105 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.12.015 Date de publication en ligne : 16/01/2021 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.12.015 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96891 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2021031	SL	Revue	Centre de documentation	Revues en salle	Disponible
081-2021033	DEP-RECP	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2021032	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

A relative evaluation of random forests for land cover mapping in an urban area / Di Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 8 (August 2017)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 8 (August 2017) . - pp 541 - 552 Titre : A relative evaluation of random forests for land cover mapping in an urban area Type de document : Article/Communication Auteurs : Di Shi, Auteur ; Xiaojun Yang, Auteur Année de publication : 2017 Article en page(s) : pp 541 - 552 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] carte d'occupation du sol [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par maximum de vraisemblance [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] objet géographique complexe [Termes IGN] occupation du sol [Termes IGN] Perceptron multicouche [Termes IGN] zone urbaine Résumé : (auteur) Random forests as a novel ensemble learning algorithm have significant potential for land cover mapping in complex areas but have not been sufficiently tested by the remote sensing community relative to some more popular pattern classifiers. In this research, we implemented random forests as a pattern classifier for land cover mapping from a satellite image covering a complex urban area, and evaluated the performance relative to several popular classifiers including Gaussian maximum likelihood (GML), multi-layer-perceptron networks (MLP), and support vector machines (SVM). Each classifier was carefully configured with the parameter settings recommended by recent literature, and identical training data were used in each classification. The accuracy of each classified map was further evaluated using identical reference data. Random forests were slightly more accurate than SVM and MLP but significantly better than GML in the overall map accuracy. Random forests and support vector machines generated almost identical overall map accuracy, but the former produced a smaller standard deviation of categorical accuracies, suggesting its better overall capability in classifying both homogeneous and heterogeneous land cover classes. Random forests have shown its robustness due to the most accurate classification on the whole, relatively balanced performance across all land cover categories, and relatively easier to implement. These findings should help promote the use of random forests for land cover classification in complex areas. Numéro de notice : A2017-435 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.14358/PERS.83.8.541 En ligne : https://doi.org/10.14358/PERS.83.8.541 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86339 [article]

A method based on graphic entity for visualizing complex map symbols on the web / Jinqu Zhang in Cartography and Geographic Information Science, Vol 42 n° 1 (January 2015)  

Public [article]  inCartography and Geographic Information Science > Vol 42 n° 1 (January 2015) . - pp 44 - 53 Titre : A method based on graphic entity for visualizing complex map symbols on the web Type de document : Article/Communication Auteurs : Jinqu Zhang, Auteur ; Yunqiang Zhu, Auteur Année de publication : 2015 Article en page(s) : pp 44 - 53 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] carte interactive [Termes IGN] cartographie par internet [Termes IGN] données vectorielles [Termes IGN] Flash (logiciel) [Termes IGN] format SVG [Termes IGN] Kouangtoung (Chine) [Termes IGN] objet géographique complexe [Termes IGN] sémiologie graphique [Termes IGN] symbole graphique [Termes IGN] web mapping Résumé : (auteur) A method based on graphic entity for map symbol visualization in vector-based web mapping is proposed. The method is especially effective for complex geological symbols. It has three parts: graphic entity library, symbol synthesizer, and synthesis specifications. The design process is described as the application of the method to symbols representing point, line, and polygon features in web mapping. The method works with Flash, SVG, or other mapping technologies. We chose Flash to visualize geological disaster information for the Guangdong province in China. The case study demonstrates that this graphic entity-based method can meet the demands for interactive symbolization and complex symbol visualization in Internet web mapping. It produces good results, is fast, and is easy to operate. This makes it especially suitable for web-mapping applications, especially vector-based and hybrid WebGIS applications which display complex symbols. Numéro de notice : A2015-233 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2014.981586 En ligne : https://doi.org/10.1080/15230406.2014.981586 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76226 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2015011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Recording complex structures using close range photogrammetry: The cathedral of Santiago De Compostela / Santiago Martinez in Photogrammetric record, vol 28 n° 144 (December 2013 - February 2014)  

Public [article]  inPhotogrammetric record > vol 28 n° 144 (December 2013 - February 2014) . - pp 375 - 395 Titre : Recording complex structures using close range photogrammetry: The cathedral of Santiago De Compostela Type de document : Article/Communication Auteurs : Santiago Martinez, Auteur ; Juan Ortiz, Auteur ; M. Luz Gil, Auteur ; M.teresa Rego, Auteur Année de publication : 2013 Article en page(s) : pp 375 - 395 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes IGN] acquisition d'images [Termes IGN] cathédrale [Termes IGN] coût [Termes IGN] Espagne [Termes IGN] Galice (Espagne) [Termes IGN] La Corogne (Espagne) [Termes IGN] lever des détails [Termes IGN] modèle numérique du bâti [Termes IGN] modélisation 3D [Termes IGN] objet géographique complexe [Termes IGN] patrimoine culturel [Termes IGN] patrimoine immobilier [Termes IGN] photogrammétrie architecturale [Termes IGN] toit [Termes IGN] tour (bâtiment) Résumé : (Auteur) This paper describes the photogrammetric 3D modelling of complex buildings using low-cost automatic image matching (AIM), consumer-grade digital cameras and low-altitude imagery. To verify the potential of this method, it was applied to the documentation of a specific case: the towers and roofs of the Cathedral of Santiago de Compostela in Spain, a UNESCO World Heritage Site. The design and development of a mechanism for coping with the elevation, based on telescopic masts, was essential. Models, orthophotos and plans have been obtained to determine and rigorously measure the geometry involved. Thereby it was possible to accurately record the materials and decorative elements based on the restitution of the granite stones. Furthermore, close range photogrammetry made the analysis and quantification of the inclination of the south tower possible. Numéro de notice : A2013-629 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12040 Date de publication en ligne : 09/12/2013 En ligne : https://doi.org/10.1111/phor.12040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32765 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2013041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Change Detection in 3D Point Clouds Acquired by a Mobile Mapping System / Wen Xiao in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)    

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Intelligent services for discovery of complex geospatial features from remote sensing imagery / Peng Yue in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)  

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Vers une approche pluridisciplinaire des réseaux enterrés / Lucile Gimenez in XYZ, n° 135 (juin - août 2013) 

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Attributierte Grammatiken zur Rekonstruktion und Interpretation von Fassaden / J. Schmidtwilken (2012) 

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Provably correct and complete transaction rules for updating 3D city models / G. Groger in Geoinformatica, vol 16 n° 1 (January 2012)  

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Représentation 2D de bâti 3D complexe / N. Cadoux in Géomatique expert, n° 81 (01/07/2011)  

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User interactive multiple aerial view analysis for reconstructing a large number of 3D architectural models / S. Lee in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 4 (July - August 2011)  

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Aéroports : objets géographiques complexes / Françoise de Blomac in SIG la lettre, n° 126 (avril 2011)

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Evaluation of analytical measures of map legibility / Hanna Stigmar in Cartographic journal (the), vol 48 n° 1 (February 2011)  

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3D information extraction from laser point clouds covering complex road junctions / Sander J. Oude Elberink in Photogrammetric record, vol 24 n° 125 (March - May 2009)  

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