Fusion and speckle reduction of multi-polarization SAR images based on nonsubsampled Contourlet transform

SUNXiao-xia①②,ZHANG Ji-xian②,YAN Qin②(① China University of Mining and Technology,Jiangsu 221116,China;② Chinese Academy of Surveying and Mapping,Beijing 100830,China)  

Nonsubsampled Contourlet Transform(NSCT) is a newly improved multiresolution geometry analysis technique based on Contourlet Transform.NSCT can represent images more effectively because of its flexible multi-resolution,multi-direction and shift invariance,and has been approved to be very suitable for noisy images,such as SAR images.A method of fusing and reducing the speckles of multi-polarization SAR images based on NSCT was proposed in the paper.The images were firstly decomposed by NSCT,and then different fusion rules of decomposed coefficients were chosen with the consideration of denoising and information enhancing.Finally,the fused NSCT coefficients were reconstructed to obtain fusion result.In this paper,HH and VV co-polarization images were fused using the proposed method,and the entropy,correlation coefficient and Equivalent Number of Looks(ENL) were calculated to evaluate the results.Experiments showed that the proposed algorithm could obtain a good fused image with the improved spatial information,at the same time the speckle noises could be reduced to some extent.

【Fund】： 中国测绘科学研究院基本科研业务费资助(7771032)
【CateGory Index】： TN957.52

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