Title | ||
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Application of fast factorized back-projection algorithm for high-resolution highly squinted airborne SAR imaging. |
Abstract | ||
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In squinted synthetic aperture radar (SAR) imaging, the range-azimuth coupling requires precise range cell migration correction (RCMC). Moreover, for high-resolution airborne SAR, motion compensation (MOCO) becomes complicated as the squint angle increases, thereby degrading the performance of Doppler-domain imaging algorithms. On the other hand, time-domain back-projection (BP) SAR imaging approaches are considered as optimal solutions to performing precise image focusing and MOCO. Among current BP algorithms, the fast factorized back-projection (FFBP) algorithm is one of the most essential representatives that achieve high-resolution images in an efficient manner. In this paper, the principle and applications of the FFBP algorithm are investigated through the derivation of the azimuth impulse response function (AIRF) of the resulting image. The phenomenon of spectrum displacement induced by motion errors in the BP image is presented and analyzed. Based on rigorous mathematical derivations, a modified FFBP algorithm is proposed to facilitate a seamless integration with motion compensation and accurate imagery of high-resolution highly squinted airborne SAR. Real data results confirm the effectiveness of the proposed approaches. |
Year | DOI | Venue |
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2017 | 10.1007/s11432-015-0927-3 | SCIENCE CHINA Information Sciences |
Keywords | Field | DocType |
synthetic aperture radar (SAR), fast factorized back-projection (FFBP), modified fast factorized back-projection (MFFBP), squinted SAR, motion compensation (MOCO), 合成孔径雷达, 快速分解后向投影, 改进快速分解后向投影, 斜视SAR, 运动补偿 | Computer vision,Impulse response,Coupling,Synthetic aperture radar,Motion compensation,Azimuth,Algorithm,Artificial intelligence,Back projection,Mathematics | Journal |
Volume | Issue | ISSN |
60 | 6 | 1869-1919 |
Citations | PageRank | References |
1 | 0.36 | 20 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lei Zhang | 1 | 147 | 13.11 |
Hao-lin Li | 2 | 28 | 5.44 |
Zhiwei Xu | 3 | 1563 | 162.88 |
Hongxian Wang | 4 | 11 | 1.89 |