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Land-cover change detection using one-class support vector machine / P. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 3 (March 2010)
[article]
Titre : Land-cover change detection using one-class support vector machine Type de document : Article/Communication Auteurs : P. Li, Auteur ; H. Xu, Auteur Année de publication : 2010 Article en page(s) : pp 255 - 263 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] détection de changement
[Termes IGN] données multitemporelles
[Termes IGN] Kappa de Cohen
[Termes IGN] occupation du sol
[Termes IGN] traitement d'imageRésumé : (Auteur) Change detection using remote sensing has considerable potential for monitoring land-cover change. Commonly, one specific class of change is of interest in many applications. In this paper, a recently developed one-class classifier, the One-Class Support Vector Machine (OCSVM), is proposed for the change detection of one specific class by multitemporal classification. The classifier only requires samples from the change class of interest as the training data. The performance of the proposed method was evaluated in two applications by comparing with conventional post-classification comparison methods. The results demonstrated the proposed method achieved both higher overall accuracy and higher kappa coefficient than the conventional methods, and demonstrated good potential for further application. The study also indicated that with the ocsvm, the analysis can focus only on the specific class of interest and does not need to treat other classes, thus providing highly accurate change detection. The OCSVM-based change detection method, as a general and easily implemented method, can be used for applications where only the change of one specific class is of interest. Copyright ASPRS Numéro de notice : A2010-087 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.3.255 En ligne : https://doi.org/10.14358/PERS.76.3.255 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30283
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 3 (March 2010) . - pp 255 - 263[article]Automated image-to-map discrepancy detection using iterative trimming / J. Radoux in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 2 (February 2010)
[article]
Titre : Automated image-to-map discrepancy detection using iterative trimming Type de document : Article/Communication Auteurs : J. Radoux, Auteur ; P. Defourny, Auteur Année de publication : 2010 Article en page(s) : pp 173 - 181 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image orientée objet
[Termes IGN] appariement de données localisées
[Termes IGN] base de données vectorielles
[Termes IGN] détection de changement
[Termes IGN] forêt
[Termes IGN] image numérique
[Termes IGN] itération
[Termes IGN] segmentation d'image
[Termes IGN] seuillage d'image
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Keeping existing vector databases up to date is a real challenge for GIS data providers. This study directly compares a map with a more recent image in order to detect the discrepancies between them. An automatic workflow was designed to process the image based on existing information extracted from the vector database. First, geographic object-based image analysis provided automatically labeled image segments after matching the vector database to the image. Then, discrepan-cies were detected using a statistical iterative trimming, where outliers were excluded based on a likelihood threshold. Applied on forest map updating, the proposed workflow was able to detect about 75 percent of the forest regeneration, and 100 percent of the clear cuts with less than 10 percent of commission errors. This discrepancy detection approach assumes that discrepancy corresponds to small proportion of the map area and is very promising in diverse applications thanks to its flexibility. Copyright ASPRS Numéro de notice : A2010-051 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.76.2.173 En ligne : https://doi.org/10.14358/PERS.76.2.173 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30247
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 2 (February 2010) . - pp 173 - 181[article]Automatic 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)
[article]
Titre : Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge Type de document : Article/Communication Auteurs : M. Bouziani, Auteur ; Kalifa Goïta, Auteur ; D. He, Auteur Année de publication : 2010 Article en page(s) : pp 143 - 153 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] base de données cartographiques
[Termes IGN] détection automatique
[Termes IGN] détection de changement
[Termes IGN] détection du bâti
[Termes IGN] image à très haute résolution
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] milieu urbain
[Termes IGN] Québec (Canada)
[Termes IGN] Rabat (Maroc)Résumé : (Auteur) The updating of geodatabases (GDB) in urban environments is a difficult and expensive task. It may be facilitated by an automatic change detection method. Several methods have been developed for medium and low spatial resolution images. This study proposes a new method for change detection of buildings in urban environments from very high spatial resolution images (VHSR) and using existing digital cartographic data. The proposed methodology is composed of several stages. The existing knowledge on the buildings and the other urban objects are first modelled and saved in a knowledge base. Some change detection rules are defined at this stage. Then, the image is segmented. The parameters of segmentation are computed thanks to the integration between the image and the geodatabase. Thereafter, the segmented image is analyzed using the knowledge base to localize the segments where the change of building is likely to occur. The change detection rules are then applied on these segments to identify the segments that represent the changes of buildings. These changes represent the updates of buildings to be added to the geodatabase. The data used in this research concern the city of Sherbrooke (Quebec, Canada) and the city of Rabat (Morocco). For Sherbrooke, we used an Ikonos image acquired in October 2006 and a GDB at the scale of 1:20,000. For Rabat, a QuickBird image acquired in August 2006 has been used with a GDB at the scale of 1:10,000. The rate of good detection is 90%. The proposed method presents some limitations on the detection of the exact contours of the buildings. It could be improved by including a shape post-analysis of detected buildings. The proposed method could be integrated into a cartographic update process or as a method for the quality assessment of a geodatabase. It could be also be used to identify illegal building work or to monitor urban growth. Numéro de notice : A2010-236 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.10.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.10.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30430
in ISPRS Journal of photogrammetry and remote sensing > vol 65 n° 1 (January - February 2010) . - pp 143 - 153[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2010011 SL Revue Centre de documentation Revues en salle Disponible Change detection in submetric optical images using land cover classification tools / Arnaud Le Bris (2010)
Titre : Change detection in submetric optical images using land cover classification tools Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2010 Conférence : Journées thématiques ORFEO / PLEIADES 2010 26/01/2010 Saint-Mandé France Importance : 74 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] BD Topo
[Termes IGN] classification dirigée
[Termes IGN] détection de changement
[Termes IGN] détection du bâti
[Termes IGN] image Pléiades
[Termes IGN] modèle numérique de surface
[Termes IGN] orthoimage couleur
[Termes IGN] segmentation d'image
[Termes IGN] toit
[Termes IGN] ToulouseNuméro de notice : C2010-034 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90968 Colors of the past: color image segmentation in historical topographic maps based on homogeneity / S. Leyk in Geoinformatica, vol 14 n° 1 (January 2010)
[article]
Titre : Colors of the past: color image segmentation in historical topographic maps based on homogeneity Type de document : Article/Communication Auteurs : S. Leyk, Auteur ; R. Boesch, Auteur Année de publication : 2010 Article en page(s) : pp 1 - 21 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] archives
[Termes IGN] carte numérisée
[Termes IGN] carte topographique
[Termes IGN] détection de changement
[Termes IGN] image en couleur
[Termes IGN] qualité cartographique
[Termes IGN] segmentation d'image
[Termes IGN] système d'information géographiqueRésumé : (Auteur) A novel approach to color image segmentation (CIS) in scanned archival topographic maps of the 19th century is presented. Archival maps provide unique information for GIS-based change detection and are the only spatially contiguous data sources prior to the establishment of remote sensing. Processing such documents is challenging due to their very low graphical quality caused by ageing, manual production and scanning. Typical artifacts are high degrees of mixed and false coloring, as well as blurring in the images. Existing approaches for segmentation in cartographic documents are normally presented using well-conditioned maps. The CIS approach presented here uses information from the local image plane, the frequency domain and color space. As a first step, iterative clustering is based on local homogeneity, frequency of homogeneity-tested pixels and similarity. By defining a peak-finding rule, “hidden” color layer prototypes can be identified without prior knowledge. Based on these prototypes a constrained seeded region growing (SRG) process is carried out to find connected regions of color layers using color similarity and spatial connectivity. The method was tested on map pages with different graphical properties with robust results as derived from an accuracy assessment. Copyright Springer Numéro de notice : A2010-009 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-008-0074-z Date de publication en ligne : 16/01/2009 En ligne : https://doi.org/10.1007/s10707-008-0074-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30205
in Geoinformatica > vol 14 n° 1 (January 2010) . - pp 1 - 21[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2010011 RAB Revue Centre de documentation En réserve L003 Disponible Determining changes and flows in European landscapes 1990 - 2000 using CORINE land cover data / Jan Feranec in Applied Geography, vol 30 n° 1 (January 2010)PermalinkIntegration of geographic information systems and remote sensing / Jeffrey L. Star (2010)PermalinkDetection of unregistered buildings for updating 2D databases / Nicolas Champion (01/12/2009)PermalinkA 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)Permalinkvol 30 n° 20 - October 2009 - Accuracy 2008, [actes], spatial accuracy in remote sensing, Shangai, 25 - 27 June 2008 (Bulletin de International Journal of Remote Sensing IJRS) / Jingxiong ZhangPermalinkvol 30 n° 19 - October 2009 - ForestSat 2007, [actes], operational tools in forestry using remote sensing techniques, Montpellier, 5 - 7 November 2007 (Bulletin de International Journal of Remote Sensing IJRS) / Ronald E. McRobertsPermalinkSmall-footprint laser scanning simulator for system validation, error assessment, and algorithm development / Antero Kukko in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 10 (October 2009)PermalinkApplications of remote sensing and geographic information systems for urban land-cover change studies in Mongolia / D. Amarsaikhan in Geocarto international, vol 24 n° 4 (August - September 2009)PermalinkA disturbance inventory framework for flexible and reliable landscape monitoring / J. Linke in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 8 (August 2009)PermalinkAssessment of sliver polygons in geographical vector data / M. Delafontaine in International journal of geographical information science IJGIS, vol 23 n° 6 (june 2009)PermalinkRadiometric normalization of SPOT-5 scenes: 6S Atmospheric Model versus Pseudo-invariant Features / A. Davranche in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)PermalinkPermalinkCombined object-based classification and manual interpretation-synergies for a quantitative assessment of parcels and biotopes / S. Lang in Geocarto international, vol 24 n° 2 (April - May 2009)PermalinkLandsat sub-pixel analysis in mapping impact of climatic variability on prairie pothole changes / B. Zhang in Transactions in GIS, vol 13 n° 2 (April 2009)PermalinkThe effects of quality control on decreasing error propagation in the LandScan USA population distribution model: a case study of Philadelphia County / L. Patterson in Transactions in GIS, vol 13 n° 2 (April 2009)PermalinkAutomatic revision of 2D building databases from high resolution satellite imagery : a 3D photogrammetric approach / Nicolas Champion (2009)PermalinkProblèmes inverses en imagerie et en vision, 1. Volume 1 / A. Mohammad-Djafari (2009)PermalinkPermalinkApport géomorphologique du modele topobathymétrique integré numérique de l'estuaire de la Rance (Golfe Normand-Breton, Ouest de la France) / Zeineb Kassouk in Photo interprétation, vol 44 n° 3 - 4 (Décembre 2008)PermalinkQuantifying indicators of riparian condition in Australian tropical savannas: integrating high spatial resolution imagery and field survey data / K. Johansen in International Journal of Remote Sensing IJRS, vol 29 n°23 - 24 (December 2008)Permalink