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：2010
卷号：XXXVIII - Part 7B
页码：644-647
出版社：Copernicus Publications
摘要：Change analyses play an important role for different applications, ranging from small- to large-scale monitoring. To identify changes from SAR images of repeat pass acquisitions different methods are commonly applied, which differ with respect to the parameter as an indicator of changes. The backscatter intensity is analysed in incoherent change detection methods, whereas in the coherent change detection the complex correlation coefficient is analysed as a change indicator. These methods provide complementary characterisations, since they are sensitive to different measures of a SAR scene. However, often not only the detection of changes, but also the assessment of the detected changes is of interest, which automated is a challenging task. In this paper a combination of detection and assessment of changes is shown. Additional information is integrated into the proposed scheme to separate relevant changes from less relevant ones in order to decrease unrequested changes and evaluate the type of change. Texture measures provide information on the spatial variation of the backscatter and thus information of the local surface characteristics within the scene. This information is used to restrict the search for areas and changes of interest as well as for the assessment of changes. The goal of our analysis is to support the implementation of an operational change detection process and to define a suitable assessment of changes from TerraSAR-X data regarding different customers' requirements
关键词：Analysis; Change Detection; Monitoring; Change; SAR
