EXTRACTION OF HUMAN SETTLEMENTS FROM HIGH RESOLUTION REMOTE SENSING IMAGERY BY FUSING BOTH RIGHT-ANGLE CORNERS AND RIGHT-ANGLE SIDES

Abstract. A method for human settlements extraction from high resolution remote sensing imagery using feature-level-based fusion of right-angle-corners and right-angle-sides is proposed in this paper. First, the corners and line segments are detected, the right-angle-corners and right-angle-sides are determined by cross verification of the detected corners and line segments, and these two types of features are rasterized. Second, a human settlement index image is built based on the density and distance of the right-angle-corners and right-angle-sides in a local region. Finally, the polygons of human settlements are generated through binary thresholding of the index image, conversion from raster format to vector format, and sieving. Three images are used for testing the proposed method. The experimental results suggest that our proposed method has higher accuracy than the existed method. Specifically, the correctness, completeness, and quality of our method are 6.76 %, 10.12 %, 12.14 % respectively higher than the existed method.