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基于改进三维后向投影的多圈圆迹SAR相干三维成像方法
引用本文:韩冬, 周良将, 焦泽坤, 吴一戎. 基于改进三维后向投影的多圈圆迹SAR相干三维成像方法[J]. 电子与信息学报, 2021, 43(1): 131-137. doi: 10.11999/JEIT190945
作者姓名:韩冬  周良将  焦泽坤  吴一戎
作者单位:1.中国科学院空天信息创新研究院 北京 100190;;2.微波成像技术国家级重点实验室 北京 100190;;3.中国科学院大学 北京 100049
摘    要:

圆迹SAR(CSAR)因其特殊曲线运动轨迹而具备3维成像能力。单圈CSAR理论上可以获得距离方位平面亚波长级的分辨率,但是高程向分辨率却很低。同时,利用后向投影(BP)算法进行CSAR 3维成像的算法复杂度高,成像效率低。该文提出一种基于改进3维后向投影的多圈CSAR相干3维成像方法,针对现有成像算法时间复杂度高的问题,提出一种构造几何插值核的CSAR改进3维后向投影算法,可将3维插值操作转化为1维插值操作和距离向量搜索操作,通过多圈CSAR改进3维后向投影成像结果相干积累的方式得到最终3维图像。该文所提方法可有效解决单圈CSAR 3维成像高程向分辨率低的问题,改善3维成像细节,同时能够大幅降低CSAR 3维成像时间。仿真圆锥目标和美国空军实验室GOTCHA数据3维成像结果验证了该文所提方法的有效性。



关 键 词:圆迹SAR   多圈CSAR   相干3维成像   改进3维后向投影算法   几何插值核
收稿时间:2019-11-27
修稿时间:2020-06-19

A Coherent 3-D Imaging Method for Multi-circular SAR Based on an Improved 3-D Back Projection Algorithm
Dong HAN, Liangjiang ZHOU, Zekun JIAO, Yirong WU. A Coherent 3-D Imaging Method for Multi-circular SAR Based on an Improved 3-D Back Projection Algorithm[J]. Journal of Electronics & Information Technology, 2021, 43(1): 131-137. doi: 10.11999/JEIT190945
Authors:Dong HAN  Liangjiang ZHOU  Zekun JIAO  Yirong WU
Affiliation:1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China;;2. National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China;;3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Circular SAR (CSAR) has the ability of 3-D imaging due to its special curve trajectory. Single-pass CSAR can theoretically obtain the resolution of the sub-wavelength level on the distance-azimuth plane, but its resolution at the elevation direction is very low. At the same time, CSAR 3-D imaging with Back Projection(BP) has high algorithm complexity and low imaging efficiency. A coherent 3-D imaging method for multi-circular SAR based on an improved 3-D back projection algorithm is proposed. For the problem of high time complexity of the imaging algorithm, an improved 3-D BP algorithm for CSAR based on constructing geometric interpolation kernel is proposed. 3-D interpolation operations are transformed into 1-D interpolation operations and distance vector searching operations. The final imaging result is obtained by coherently accumulating the improved 3-D BP results of multi-circular SAR. The proposed method solves effectively the problem of low elevation resolution of single-pass CSAR, improves 3-D imaging details, and reduces greatly the time of CSAR 3-D imaging simultaneously. The simulated 3-D imaging results of the conical target and GOTCHA data set from the US Air Force Laboratory verify the effectiveness of the proposed method.
Keywords:Circular SAR(CSAR)  Multi-circular SAR  Coherent 3-D imaging  Improved 3-D Back Projection (BP) algorithm  Geometric interpolation kernel
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