An improved road and building detector on VHR images

A method is proposed for building and road detection on VHR multispectral aerial images of dense urban areas. In order to exploit all available information both spatial and spectral features of segmented areas are classified, using a 3-class SVM. Geometrical object features improve the classification accuracy in the difficult case where many building roofs are grey like the roads. In order to exploit more deeply spatial information, a road network regularization based on straight segment detection is suggested.

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