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：2007
卷号：XXXVI-1/W51
出版社：Copernicus Publications
摘要：Within recent years, a variety of new high resolution airborne and spaceborne sensors have been put into place. These sensors are either active (SAR) or passive (optical). Further systems will be launched in near future (TerraSARX, Pléiades, CosmoSkyMed) to even extend today's potential of submetric imagery. Hence new possibilities for the combined analysis of multi modality images of very high resolution arise. The combination of both radar and optical imagery enables the use of complementary information of the same scene and various application scenarios may be thought of. For example, one major field calling for enhanced remotely gathered information is rapid change detection in case of natural hazards. However, time critical applications call for easy to operate automated image processing and information extraction. Therefore one focus of CNES' and IPI's current research is on the automated fusion of optical and radar images as well as on information extraction of such fused data. In order to facilitate international cooperation and knowledge sharing, all algorithms that have been developed are integrated into the open source software library ORFEO Toolbox (OTB), introduced and maintained by CNES. This paper will deal with the current state of research and outline future perspectives. In order to successfully fuse optical and radar imagery, the first step is to achieve an accurate registration of both data sets. The following paragraphs will give an insight into the comprehensive modelling that has to be conducted
