基于方位向预处理和后处理的TOPSAR成像方法

徐伟; 邓云凯

doi:10.3724/SP.J.1146.2010.00668

基于方位向预处理和后处理的TOPSAR成像方法

doi: 10.3724/SP.J.1146.2010.00668

徐伟^1,,
邓云凯¹

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- 被引次数: 0
出版历程
- 收稿日期: 2010-06-29
- 修回日期: 2010-10-08
- 刊出日期: 2011-04-19

An Imaging Approach for TOPSAR Data Based on Azimuth Pre-processing and Post-processing

Xu Wei^1
,,
Deng Yun-Kai¹

摘要

摘要: Burst工作模式和方位波束主动扫描使得TOPSAR(Terrain Observation by Progressive scans SAR)回波信号同时具备ScanSAR和聚束模式回波信号特点，即方位输出时间混叠和多普勒频谱混叠。虽然时域和频域同时升采样操作能够解决混叠问题，但同时带来成像运算量明显提高和内存消耗显著增大的问题。针对TOPSAR回波信号特殊的方位时频关系，该文提出一种结合方位向预处理和后处理的TOPSAR成像方法。该方法利用复制拼接和去斜的方法来解决混叠问题，利用信号截取操作剔除干扰信号，同时还可以减少采样点数，提高算法运算效率。点目标和分布目标的仿真结果验证了这种成像方法的有效性。
- TOPSAR /
- Burst模式 /
- 波束扫描 /
- 混叠 /
- CS算法
Abstract: Burst mode and azimuth beam steering lead to echoes of TOPSAR mode obtain echo characteristics of both ScanSAR and spotlight mode, such as azimuth data folding in the output time domain and Doppler spectrum aliasing. Up-sampling both in the slow time and Doppler frequency domain can resolve the aliasing problem but with the unwanted result of seriously increased computational complexity and memory consumption. According to the TOPSAR raw data support in the slow Time/Frequency Domain (TFD), a new TOPSAR imaging approach combined with azimuth pre-processing and post-processing operations is proposed. The mosaiking with deramping operation approach is adopted to resolve the data aliasing problem. Furthermore, azimuth data interception is used to eliminate the disturbance signals and reduce azimuth total samples to improve the computational efficiency. Simulation results of point targets and distributed target validate the effectiveness of the presented imaging approach.
- TOPSAR (Terrain Observation by Progressive scans SAR) /
- Burst mode /
- Beam steering /
- Aliasing /
- Chirp Scaling (CS) algorithm

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参考文献(1)

Zan F D and Guarnieri A M. TOPSAR: Terrain observation by progressive scans[J]. IEEE Transactions on Geosciences and Remote Sensing, 2006, 44(6): 2352-2360.[2] Meta A, Prats P, and Steinbrecher U. First TOPSAR image and interferometry results with TerraSAR-X[C]. Proc. of Fringe Workshop, Frascati, Italy, 2007: 1-8.[3] Meta A, Prats P, and Steinbrecher U. TerraSAR-X TOPSAR and ScanSAR comparison[C]. Proc. of EUSAR, Friedrichshafen, Germany, 2008: 277-280.[4] Meta A, Mittermayer J, and Prats P. TOPS imaging with TerraSAR-X: mode design and perfomance analysis[J]. IEEE Transactions on Geosciences and Remote Sensing, 2010, 48(2): 759-769.[5] Guarnieri A M and Prati C. ScanSAR focusing and interferometry[J]. IEEE Transactions on Geosciences and Remote Sensing, 1996, 34(4): 1029-1038.[6] Prati C, Guarnieri A M, and Rocca F. SPOT mode SAR focusing with the k technique[C]. Proc. of IEEE IGARSS, Espoo, Finland, 1991: 631-634.[7] Mittermayer J, Lord R, and Boerner E. Sliding spotlight SAR processing for TerraSAR-X using a new formulation of the extended chirp scaling algorithm[C]. Proc. of IEEE IGARSS, Toulouse, France, 2003: 1462-1464.[8] Moreira A, Mittermayer J, and Scheiber R. Extended chirp scaling algorithm for air- and spaceborne SAR data processing in stripmap and ScanSAR imaging modes[J]. IEEE Transactions on Geosciences and Remote Sensing, 1996, 34(5): 1123-1136.[9] Prats P, Scheiber R, and Mittermayer J. Processing of sliding spotlight and TOPS SAR data using baseband azimuth scaling[J]. IEEE Transactions on Geosciences and Remote Sensing, 2010, 48(2): 770-780.[10] Prats P, Marotti L, and Wollstadt S. TOPS interferometry with TerraSAR-X[C]. Proc. of EUSAR, Aachen, Germany, 2010: 44-47.[11] Bai Xia, Sun Jing-ping, and Hong Wen. On the TOPS mode spaceborne SAR[J]. Science China-Information Sciences, 2010, 53(2): 367-378.[12] Mittermayer J, Prats P, and DAria D. TOPS Sentinel-1 and TerraSAR-X processor comparison based on simulated data[C]. Proc. of EUSAR, Aachen, Germany, 2010: 362-365.

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