Segmentation of Built up area from SPOT 5 multispectral satellite images

Segmentation of Built up area from a satellite image is an initial step for a variety of applications. In this paper we propose a novel approach for segmenting built up area mask from SPOT 5 multi spectral satellite images with 2.5 meter resolution. The proposed algorithm uses information theoretic and multi resolution techniques for segmentation. The results of proposed algorithm demonstrated it´s effectiveness for the segmentation of built up area from large sized satellite images. The validation results for segmentation using sensitivity, positive predictive value and dice coefficient show a significant improvement over supervised classification results of a commercial software. Also it was observed that the wavelet transform produced better results than the scale space technique when used in the proposed algorithm for multi resolution decomposition.