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24 January 2017 Azimuth-range decouple-based L1 regularization method for wide ScanSAR imaging via extended chirp scaling
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Abstract
In this paper, we proposed an azimuth-range decouple-based L1 regularization method for wide ScanSAR imaging via extended chirp scaling (ECS) and applied it to the TerraSAR-X data to achieve large-scale sparse reconstruction. Compared with ECS, the conventional ScanSAR imaging algorithm based on matched filtering, the proposed method can improve the synthetic aperture radar image performance with full-sampling raw data for not only sparse but also nonsparse surveillance regions. It can also achieve high-resolution imaging for sparse considered scenes efficiently using down-sampling raw data. Compared with a typical L1 regularization imaging approach, which requires transfer of the two-dimensional (2-D) echo data into a vector and reconstruction of the scene via 2-D matrix operation, our proposed method has less computational cost and hence makes the large-scale regularization reconstruction of considered area become possible. The experimental results via real data validate the effectiveness of the proposed method.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2017/$25.00 © 2017 SPIE
Hui Bi, Bingchen Zhang, XiaoXiang Zhu, and Wen Hong "Azimuth-range decouple-based L1 regularization method for wide ScanSAR imaging via extended chirp scaling," Journal of Applied Remote Sensing 11(1), 015007 (24 January 2017). https://doi.org/10.1117/1.JRS.11.015007
Received: 31 July 2016; Accepted: 27 December 2016; Published: 24 January 2017
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Cited by 14 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Surveillance

Reconstruction algorithms

Bismuth

Fourier transforms

Image restoration

Radar

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