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[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1691-1694. doi: 10.3724/SP.J.1146.2005.01645
Citation:
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[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1691-1694. doi: 10.3724/SP.J.1146.2005.01645
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[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1691-1694. doi: 10.3724/SP.J.1146.2005.01645
Citation:
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[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1691-1694. doi: 10.3724/SP.J.1146.2005.01645
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.