The Study of Satellite SAR Imagery Geo-referencing Based on Satellite Parameters Prediction
Li Li-gang①②③④; Wu Yi-rong①; Liu Bo②④; Peng Hai-liang①; You Hong-jian①; Zhou Qiang①③
①National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China; ②Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710068, China; ③Graduate School of Chinese Academy of Science, Beijing 100039, China; ④Center for Sapce Science and Applied Research, Chinese Academy of Sciences, Beijing 100080, China
Abstract:In this paper a new method is proposed to solve the geo-referencing problem of satellite SAR imagery without GCPs by considering the consecutive imaging parameters. That is, the imaging parameters of consecutive imagery are calculated based on GCPs in order to set up the prediction formula, and then the imaging parameters of satellite SAR imagery can be forecasted. Thus the radar collinearity equation model is introduced to precisely locate imagery. RADARSAT imagery is used to test and geo-referencing accuracy reaches 6-7 pixels.
李立钢; 吴一戎; 刘波; 彭海良; 尤红建; 周强. 基于卫星参数预测的星载SAR图像定位方法研究[J]. 电子与信息学报, 2007, 29(7): 1691-1694 .
Li Li-gang; Wu Yi-rong; Liu Bo; Peng Hai-liang; You Hong-jian Zhou Qiang. The Study of Satellite SAR Imagery Geo-referencing Based on Satellite Parameters Prediction. , 2007, 29(7): 1691-1694 .