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：2002
卷号：XXXIV Part 3 A
页码：387-393
出版社：Copernicus Publications
摘要：We introduce herein the concept of the ill-configured object (ICO). An ICO is a geometrical object having a stable (unique) name but varying configurations (shape, size, components, and component layout). In addition, we introduce the concept of the neighbour set representation (NSR) of an object, and show that the NSR is well-fitted to the ICO. Moreover, we show that any object, either non- ICO or ICO, can be characterized as a solution of a set theoretic equation defined on its NSR. An algorithm is thus designed to detect ICOs in images. Two applications of the proposed theory are then presented. The first is ICO recognition in aerial images, and the second is automatic matching of highly deviated landmark-less images. The latter provides a foundation for automatic land cover change analysis using satellite/aerial images obtained under different conditions (time, height, and direction).
