期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2000
卷号：XXXIII Part B3(/1+2)
页码：169-176
出版社：Copernicus Publications
摘要：The objective of this investigation is to develop a scheme to extract man-made buildings from color aerial image pairs. The scheme consists of five stages of processing. In the first stage, an epipolar transformation is applied according to the predetermined orientation parameters. Second, segmentation for color image pairs is performed using 3-band region growing approach. In the third stage, we calculate edge strengths for 3-band image pairs. Fourth, the detection and location of precision corner points are performed. Two steps are included in this stage. The initial detection for corners is firstly performed according to the segments derived from stage two. Then, those initial corner points are refined according to the edge strengths as calculated in stage 3. In the final stage, a new matching idea is proposed to determine the disparities for each building in the stereopair. The proposed operator improves the matching results with respect to the traditional ones. Experimental results indicate that proposed scheme achieve (1) high precision for corner point location, (2) highly successful rate in image matching, and (3) high accuracy of disparity for buildings
关键词：Building; Feature Extraction; Image Matching; and Multi-Spectral Data
