Doppler Spectrum-Based NRCS Estimation Method for Low-Scattering Areas in Ocean SAR Images
AbstractThe image intensities of low-backscattering areas in synthetic aperture radar (SAR) images are often seriously contaminated by the system noise floor and azimuthal ambiguity signal from adjacent high-backscattering areas. Hence, the image intensity of low-backscattering areas does not correctly reflect the backscattering intensity, which causes confusion in subsequent image processing or interpretation. In this paper, a method is proposed to estimate the normalized radar cross-section (NRCS) of low-backscattering area by utilizing the differences between noise, azimuthal ambiguity, and signal in the Doppler frequency domain of single-look SAR images; the aim is to eliminate the effect of system noise and azimuthal ambiguity. Analysis shows that, for a spaceborne SAR with a noise equivalent sigma zero (NESZ) of −25 dB and a single-look pixel of 8 m × 5 m, the NRCS-estimation precision of this method can reach −38 dB at a resolution of 96 m × 100 m. Three examples are given to validate the advantages of this method in estimating the low NRCS and the filtering of the azimuthal ambiguity. View Full-Text
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Meng, H.; Wang, X.; Chong, J.; Wei, X.; Kong, W. Doppler Spectrum-Based NRCS Estimation Method for Low-Scattering Areas in Ocean SAR Images. Remote Sens. 2017, 9, 219.
Meng H, Wang X, Chong J, Wei X, Kong W. Doppler Spectrum-Based NRCS Estimation Method for Low-Scattering Areas in Ocean SAR Images. Remote Sensing. 2017; 9(3):219.Chicago/Turabian Style
Meng, Hui; Wang, Xiaoqing; Chong, Jinsong; Wei, Xiangfei; Kong, Weiya. 2017. "Doppler Spectrum-Based NRCS Estimation Method for Low-Scattering Areas in Ocean SAR Images." Remote Sens. 9, no. 3: 219.
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