A system to detect houses and residential street networks in multispectral satellite images
Computer Vision and Image Understanding
A system to detect houses and residential street networks in multispectral satellite images
Computer Vision and Image Understanding
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There is growing interest in the automatic interpretation of range data acquired by airborne laser scanners. Huge volumes of data involved in land use analysis and building reconstruction applications necessitate a preliminary step to focus attention on interesting areas. In this paper, we present a technique to detect and discriminate buildings and vegetation in dense Digital Surface Models (DSM) by combining curvature based features and edge information. Our results demonstrate the effectiveness of differential geometric properties in the analysis of range data.