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Volume 32 Issue 9
Oct.  2010
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Chen Li-Fu, Wei Li-Deng, Xiang Mao-Sheng, Han Song-Tao. Auto-registration Imaging Algorithm of Non-linear Approximation for Airborne Dual-antenna InSAR[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2208-2214. doi: 10.3724/SP.J.1146.2009.01162
Citation: Chen Li-Fu, Wei Li-Deng, Xiang Mao-Sheng, Han Song-Tao. Auto-registration Imaging Algorithm of Non-linear Approximation for Airborne Dual-antenna InSAR[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2208-2214. doi: 10.3724/SP.J.1146.2009.01162

Auto-registration Imaging Algorithm of Non-linear Approximation for Airborne Dual-antenna InSAR

doi: 10.3724/SP.J.1146.2009.01162
  • Received Date: 2009-09-03
  • Rev Recd Date: 2010-01-27
  • Publish Date: 2010-09-19
  • In order to improve the speed of interferometric processing for the airborne dual-antenna interferometric Synthetic Aperture Radar (SAR) system and also remain the accuracy of the registration, the non-linear approximation in the range Extended Chirp Scaling (ECS) auto-registration imaging algorithm is presented in the paper. This algorithm realizes the accurate auto-registration in the range in course of the imaging processing by the non-linear approximation to the path difference caused by the different visual angles of the two antennas. It increases the speed of generating the interferometric phase largely and preserves the higher accuracy of the registration meanwhile. Through the processing of the simulation data and the real interferometric data and the analysis of the impact of the systemic parameters on the accuracy of registration, the validity of the algorithm presented in the paper is proved.
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