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：2008
卷号：XXXVII Part B7
页码：1631-1636
出版社：Copernicus Publications
摘要：The use of new, high-resolution spectral sensors, in contrast with low-resolution, increases both the amount of information acquired about land cover at local scales, and the geometric detail and accuracy. However, the algorithms needed for high-resolution image processing are more complex than those needed for their low-resolution counterparts. This paper's main objective is to present a new method for change detection for bi-temporal, multi-spectral, high-resolution satellite imagery. The method focuses on detecting anomalies in two images with the RX algorithm, and then analysing the differences. As a case study, the method is tested with two SPOT5 satellite images pansharpened to a resolution of 2.5 m. Most of the changes that happened to manmade objects between the two dates are obtained by this method
