Centre de documentation
scientifique

Dépouillements

Strategies for integrating information from multiple resolutions into land-use/land-cover classification routines / D.M. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 11 (November 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 11 (November 2003) . - pp 1279 - 1287 Titre : Strategies for integrating information from multiple resolutions into land-use/land-cover classification routines Type de document : Article/Communication Auteurs : D.M. Chen, Auteur ; D. Stow, Auteur Année de publication : 2003 Article en page(s) : pp 1279 - 1287 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] banlieue [Termes IGN] classification barycentrique [Termes IGN] classification multidimensionnelle [Termes IGN] image à très haute résolution [Termes IGN] intégration de données [Termes IGN] métropole [Termes IGN] milieu urbain [Termes IGN] occupation du sol [Termes IGN] précision de la classification [Termes IGN] résolution multiple [Termes IGN] San Diego Résumé : (Auteur) With the development of new remote sensing systems, very high spatial and spectral resolution images now provide a source for detailed and continuous sampling of the Earth's surface from local to regional scales. This paper presents three strategies for selecting and integrating information from different spatial resolutions into classification routines. One strategy is to combine layers of image varying resolution. A second strategy involves comparing the a posteriori probabilities of each class at different resolutions. Another strategy is based on a top-down approach stating with the coarsest resolution. The multiresolution strategies are tested using simulated multiresolution images for a portion of the rural-urban fringe of the SanDiego Metropolitan Area. The classification accuracy obtained from using three multiple strategies was greater when compared with that from a conventional single-resolution approach. Among the three strategies, the top-down approach resulted in the highest classification accuracy with a Kappa value of 0,648 compared to a Kappa of 0,566 for the conventional classifier. Numéro de notice : A2003-294 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.11.1279 En ligne : https://doi.org/10.14358/PERS.69.11.1279 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22589 [article]

Automated change detection for updates of digital map databases / T. Knudsen in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 11 (November 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 11 (November 2003) . - pp 1289 - 1296 Titre : Automated change detection for updates of digital map databases Type de document : Article/Communication Auteurs : T. Knudsen, Auteur ; B.P. Olsen, Auteur Année de publication : 2003 Article en page(s) : pp 1289 - 1296 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] base de données topographiques [Termes IGN] bati [Termes IGN] cartographie cadastrale [Termes IGN] cartographie numérique [Termes IGN] classification par la distance de Mahalanobis [Termes IGN] Danemark [Termes IGN] détection de changement [Termes IGN] données vectorielles [Termes IGN] image RVB [Termes IGN] mise à jour de base de données [Termes IGN] photographie aérienne [Termes IGN] photographie en couleur [Termes IGN] photographie infrarouge [Termes IGN] traitement automatique de données Résumé : (Auteur) Updating digital map databases to reflect continuous changes is a major task, which could be significantly reduced by introducing an automated change-detection process. We suggest an algorithm inspired by the specific problem of updating the Danish National Topographic Map Database (TOP10DK). The emphasis is on buildings, which are very important mapping objects. The algorithm uses vector and spectral data as input to an unsupervised spectral classification method which controls a subsequent Mahalanobis classification step. For evaluation, we present four test cases based on the TOP10DK database in combination with RGB and color-infrared (CIR) aerial photos. A main problem is roofs covered with roofing felt, which are hard to discriminate spectrally from roads. Apart from that, RGB photos are barely sufficient for change detection, while CIR data give more satisfactory results. Refinements are, however, still needed to reduce the number of false alarms. Numéro de notice : A2003-295 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.11.1289 En ligne : https://doi.org/10.14358/PERS.69.11.1289 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22590 [article]