Unsupervised detection of different SAR images based on improved NSCT domain image fusion algorithmChinese Full Text
ZHANG Yi-chen;JIA Zhen-hong;QIN Xi-zhong;YANG Jie;Nikola Kasabov;College of Information Science and Engineering,Xinjiang University;Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University;Knowledge Engineering and Discovery Research Institute,Auckland University of Technology;
Abstract: In order to reduce the total errors and obtain a better result in change detection with different SAR images,an unsupervised change detection algorithm is proposed in this paper.The technique is based on nonsubsampled contourlet transform（NSCT）domain with an improved fusion algorithm and fuzzy local information C-means clustering（FLICMC）.First of all,mean-ratio operation and log-ratio operation are adopted to obtain the difference image,by using two images acquired in the same geographical area at different moments.Secondly,the two difference images are transformed into NSCT domain.The low frequency coefficients of two images of difference images respectively are fused by the rule of the maximum gradient quadratic sum;the high frequency coefficients of two images of difference images respectively are fused by the rule of the weighted fusion.And the final difference image can be got by using NSCT inverse transform.Finally,on the basis of FLICMC algorithm,the final difference image is divided into change area and unchanged area.According to the research between the real remote sensing data set and the simulated remote sensing data set,the experimental results show that the proposed algorithm can effectively suppress speckle noise impact on the detection results,and is not limited by the statistical distribution of change class and unchanged class.It has great applicability and doesn′t requireprior knowledge.So the proposed algorithm can get better detection effect.Compared with DWT2-FLICMC and MRF-FCMC,the proposed algorithm can obtain higher detection accuracy and shorter running time.
Keywords：
change detection; image fusion; nonsubsampled confourlet transform（NSCT）; fuzzy local information C-means clutering（FLICMC）;
- DOI：
10.16136/j.joel.2015.10.0252
- Series：
- Subject：
- Classification Code：
TP391.41
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