Ground Cartesian Back-Projection Algorithm for High Squint Diving TOPS SAR Imaging

This article presents a fast back-projection (BP) algorithm based on subaperture (SA) image coherent combination in a downsampled Cartesian coordinate grid for high squint diving terrain observation by progressive scans (HSD-TOPS) synthetic aperture radar (SAR) ground plane imaging. A two-step spect...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2021-07, Vol.59 (7), p.5812-5827
Main Authors: Chen, Xiaoxiang, Sun, Guang-Cai, Xing, Mengdao, Li, Boyu, Yang, Jun, Bao, Zheng
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Azimuth
Cartesian back-projection algorithm
Cartesian coordinates
Compression
Data analysis
Data processing
Diving
Frequency-domain analysis
Ground plane
high squint diving (HSD) synthetic aperture radar (SAR)
Image compression
Imaging
Imaging techniques
Interpolation
Radar imaging
SAR (radar)
Sidelobe reduction
Sidelobes
Signal processing algorithms
Synthetic aperture radar
terrain observation by progressive scans (TOPS) SAR
Wavelengths
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Summary:This article presents a fast back-projection (BP) algorithm based on subaperture (SA) image coherent combination in a downsampled Cartesian coordinate grid for high squint diving terrain observation by progressive scans (HSD-TOPS) synthetic aperture radar (SAR) ground plane imaging. A two-step spectrum compression (SC) method is proposed to coherently combine the aliasing SA images by exploiting the relationship between the wavenumber and the image frequency. The first-step SC is introduced to align the spectrum support region centers. The second-step SC effectively corrects the space-variant spectrum inclination. The proposed algorithm does not need interpolation in the process of image combination, which ensures the accuracy and the efficiency of the algorithm. Furthermore, the SC method is well-modified to suppress the sidelobes of the focused image. Simulation and measured data processing verify the effectiveness of the proposed method.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2020.3011589