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：153-156
出版社：Copernicus Publications
摘要：Vehicle detection and traffic parameter estimation is motivated by different applications, e.g. logistics, planning of roads and trans- portation research. Therefore, automated traffic monitoring with air- or spaceborne data has evolved to an important research issue. SAR satellite missions, e.g. TerraSAR-X and RADARSAT-2, provide high resolution dual-channel SAR data and hence a possibility to collect traffic measurements of large areas. In this paper, a method to derive traffic parameters from such images is presented, where the different effects of moving objects are exploited. In addition to previous work, available multi-temporal satellite data is integrated to improve the detection of vehicles
