Remote Sensing Image Building Extraction And Analysis

The technology of building recognition is an active subject in the area of pattern recognition. In this paper, one of building recognition technology is probed based on linear features of the targets, and then change detection of the buildings is also discussed. The corresponding solutions are given. The work including:(1) The algorithm of building recognition based on linear features and the Theory of Perceptual OrganizationBased on linear features of the images, this paper first introduced the Perceptual Organization -Based building recognition algorithm. We emphasized the construction of the hypotheses of the buildings, which are comprised of edge lines. Considering the recognition performance and the computation time, this paper proposed an improved method using to pre-treat disorder edge lines, to search hypotheses of targets based on knowledge and to validate the hypotheses on regions of shadow.(2) Comparison of Change Detection algorithms of Building: based on image matching and based on texture.This paper introduced two kinds of change detection algorithm of building: based on image matching and based on texture. Firstly, this paper introduced the method based on texture, and then pointed out lack of precision of location and too much computation time. Using image matching base on relativity, the result proved this algorithm is better than the one based on texture.