| Citation: | SHI Quan, LI Jingwen, YANG Wei, et al. Multi-aspect SAR image fusion method based on wavelet transform[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(10): 2135-2142. doi: 10.13700/j.bh.1001-5965.2016.0823(in Chinese)
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Considering the diversity of target scattering characteristics with different observation angle and information redundancy of multi-aspect images, this paper proposes a novel multi-aspect SAR image fusion method based on wavelet transform and edge detection. First, wavelet transform was performed to multi-aspect space-borne SAR image processing. The images were separated to different parts of frequency so that the multi-resolution representation and multi-aspect information of sequential images can be conveniently fused. Second, the improved Robinson edge detection algorithm was used to strengthen the energy of contour feature. Finally, fusion experiment and quantitative evaluation method were used to verify the effectiveness of this fusion imaging method.
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