Multi-angle SAR non-coherent image fusion algorithm based on HIS statistic characteristics

Da Ran; Can-bin Yin; Wei-qiang Zhu; Guo-chao Lao

doi:10.1117/12.2244871

29 August 2016 Multi-angle SAR non-coherent image fusion algorithm based on HIS statistic characteristics

Da Ran, Can-bin Yin, Wei-qiang Zhu, Guo-chao Lao

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100331X (2016) https://doi.org/10.1117/12.2244871
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

In order to reduce the shadow in traditional linear SAR image, a multi-angle SAR non-coherent image fusion algorithm based on HIS statistic characteristics is proposed. By converting SAR image to HIS space, a threshold based on the statistic characteristics of SAR image’s HIS parameter is calculated and SAR images of different observation angles, which have been filtered according to the threshold previously calculated, are fused by non-coherent accumulation method. The fused image not only effectively reduces the image shadow, but also improves the detection probability of targets. The simulation results verify the effectiveness of the proposed algorithm.

Citation Download Citation

Da Ran, Can-bin Yin, Wei-qiang Zhu, and Guo-chao Lao "Multi-angle SAR non-coherent image fusion algorithm based on HIS statistic characteristics", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331X (29 August 2016); https://doi.org/10.1117/12.2244871

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