Multi-Band and Polarization SAR Images Colorization Fusion

The image fusion of multi-band and multi-polarization synthetic aperture radar (SAR) images can improve the efficiency of band and polarization information processing. In this paper, we introduce a fusion method that simultaneously fuses multi-band and polarization SAR images. In the method, we firs...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-08, Vol.14 (16), p.4022
Main Authors: Li, Xinchen, Jing, Dan, Li, Yachao, Guo, Liang, Han, Liang, Xu, Qing, Xing, Mengdao, Hu, Yihua
Format: Article
Language:English
Subjects:
band fusion
Coefficient of variation
Colorization
Computer vision
Data processing
Decomposition
image fusion
Image processing
Information processing
Methods
Polarization
polarization fusion
Radar imaging
Remote sensing
SAR image
Synthetic aperture radar
Wavelet transforms
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Summary:The image fusion of multi-band and multi-polarization synthetic aperture radar (SAR) images can improve the efficiency of band and polarization information processing. In this paper, we introduce a fusion method that simultaneously fuses multi-band and polarization SAR images. In the method, we first use non-subsampled shearlet transform (NSST) to fuse multi-band and polarization SAR images. The sub-band images decomposed from the NSST are fused by the coefficient of variation (CV) and phase consistency (PC) weighted fusion rules. Subsequently, we extract the band and polarization difference information from the multi-band and polarization SAR images. The fusion image is finally colorized according to the band and polarization differences. In the experiments, we used Ka and S-band multi-polarization SAR images to test the fusion performance. The experiment results prove that the proposed fused images not only preserve much valuable information but also can be interpreted easily.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14164022