Regionwise classification of building facade images

Authors:
Michael Ying Yang;Wolfgang Förstner
Affiliations:
Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany;Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Venue:
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Year:
2011

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Abstract

In recent years, the classification task of building facade images receives a great deal of attention in the photogrammetry community. In this paper, we present an approach for regionwise classification using an efficient randomized decision forest classifier and local features. A conditional random field is then introduced to enforce spatial consistency between neighboring regions. Experimental results are provided to illustrate the performance of the proposed methods using image from eTRIMS database, where our focus is the object classes building, car, door, pavement, road, sky, vegetation, and window.