周良将1, 2, 3,,,
焦泽坤1, 2,
吴一戎1, 2, 3
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
详细信息
作者简介:韩冬：男，1994年生，博士生，研究方向为基于多角度观测的SAR 3维成像技术
周良将：男，1981年生，研究员，研究方向为合成孔径雷达系统设计、系统误差补偿及其相关信号处理技术
焦泽坤：男，1991年生，助理研究员，研究方向为SAR 3维成像技术
吴一戎：男，1963年生，研究员，中国科学院院士，研究方向为高分辨机载合成孔径雷达及运动补偿技术、SAR信号处理算法、遥感卫星地面处理与应用系统的体系结构、数据处理算法等
通讯作者:周良将 ljzhou@mail.ie.ac.cn
中图分类号:TN958计量
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出版历程
收稿日期:2019-11-27
修回日期:2020-06-19
网络出版日期:2020-07-20
刊出日期:2021-01-15
A Coherent 3-D Imaging Method for Multi-circular SAR Based on an Improved 3-D Back Projection Algorithm
Dong HAN1, 2, 3,Liangjiang ZHOU1, 2, 3,,,
Zekun JIAO1, 2,
Yirong WU1, 2, 3
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
摘要
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
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.
Key words:Circular SAR(CSAR)/
Multi-circular SAR/
Coherent 3-D imaging/
Improved 3-D Back Projection (BP) algorithm/
Geometric interpolation kernel
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