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：2006
卷号：XXXVI Part 4
出版社：Copernicus Publications
摘要：Present paper deals the fusion of image analysis and electromagnetic approach to predict the shape of the shallow buried metallic objects for satellite remote sensing at X-band (i.e., 10 GHz). The shape reconstruction is based on the mean of the image intensity with computed reflectivity at any depth and then deconvolution using image processing techniques. For this purpose, a monostatic scatterometer has been indigenously developed, which consists a transmitter and receiver mounted on the stand of the sand pit and when operated it moves over it. An algorithm has been proposed for shallow buried object detection system that is based on the image processing and electromagnetic theory. This algorithm is applied for square and rectangle shapes of the metallic objects and the obtained results are quite satisfactory. The shape of the buried utility is determined for any depth for which the returned echo is significant. This approach will be quite helpful to develop an automatic satellite data based information systems using image analysis and microwave remote sensing techniques to identify the shape of the various shallow buried objects
