BUILDING EXTRACTION FROM STEREO AERIAL IMAGES BASED ON MULTI-LAYER LINE GROUPING WITH HEIGHT CONSTRAINT

This paper introduces a novel multi-layer line grouping method for perceptually building extraction from stereo aerial images. Nowadays, perceptual grouping algorithm for line features obtained from images has been widely investigated, but there are little attentions to be paid to building height information of the line segments applied in existing literature of edge grouping field. In order to enhance accuracy of edge grouping, line segments are grouped into multi-layer with the extracted height information of neighbor matching points as constraint in this paper. In each height layer, line segments are grouped under the guidance of prior knowledges about the boundary style of polygonal buildings, and iteratively verified by the aforementioned group rules or prior knowledges for correctness of the connection and optimal building extraction. Experimental results illustrate a precise building extraction which can be accomplished by the proposed method.