Performance evaluation of road and building classifiers on VHR images

C. Simler, C. Beumier

Résultats de recherche: Contribution à un journalArticle de conférenceRevue par des pairs

Résumé

A method is proposed for building and road detection on VHR multispectral aerial images of dense urban areas. Spatial and spectral features of segmented areas are classified using a 3-class SVM integrating some a priori and contextual information to handle unclassified patterns and conflicts. Geometrical object features and additional information improve the classification accuracy in the difficult case where many building roofs are grey like the roads and have similar geometry. Also, road network regularization is suggested to improve the classification accuracy.

langue originaleAnglais
journalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume38
Numéro de publication4C7
étatPublié - 2010
EvénementGeographic Object-Based Image Analysis, GEOBIA 2010 - Ghent, Belgique
Durée: 29 juin 20102 juil. 2010

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