一种基于GF-3数据的高效TOPS SAR成像算法

Shujiang Liu, Zegang Ding, Han Li, Qingping Meng, P. Zheng, D. Chen
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引用次数: 0

摘要

逐级扫描SAR地形观测是实现宽波段成像的主要方式之一。由于TOPS SAR的天线旋转会造成频谱混叠,传统成像算法通常采用两步处理来避免频谱混叠。然而,这些算法需要零填充,这使得计算成本很高。此外,在距离元偏移校正(RCMC)处理中忽略了高项的距离元偏移(RCM),而引入了额外的距离元偏移(RCM),导致积分时间过长时成像结果离焦。为了解决上述问题,本文提出了一种有效的TOPS SAR成像算法。在点目标和GF-3数据上的仿真结果表明了所提成像算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Effective TOPS SAR Imaging Algorithm Based on GF-3 Data
Terrain observation by progressive scans (TOPS) SAR is one of the main modes to achieve wide-swath imaging. Due to the spectrum aliasing caused by antenna rotation of TOPS SAR, traditional imaging algorithms usually adopt twostep processing to avoid spectrum aliasing. However, these algorithms require zero-padding, which makes the computation cost high. Moreover, the range cell migration (RCM) of the higher term is ignored and additional RCM is introduced in the range cell migration correction (RCMC) processing, which lead to defocused imaging results in the case of long integrated time. In order to solve the above problems, an effective TOPS SAR imaging algorithm is proposed in the paper. The simulations on point targets and GF-3 data show the effectiveness of the proposed imaging algorithm.
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