利用免疫克隆进行小波域遥感图像变化检测  

Change detection in multi-temporal remote sensing images based on the wavelet-domain immune clonal optimazition

作　　者：王凌霞[1] 焦李成[1] 颜学颖[1] 辛芳芳[2] 

机构地区：[1]西安电子科技大学智能感知与图像理解教育部重点实验室,陕西西安710071 [2]西安微电子技术研究所,陕西西安710054

出　　处：《西安电子科技大学学报》2013年第4期108-113,共6页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61001202;61003199);高等学校学科创新引智计划(111计划)资助项目(B07048);国家教育部博士点基金资助项目(200807010003;20090203120016;20100203120008);教育部"长江学者和创新团队发展计划"资助项目(IRT1170)

摘　　要：为了降低遥感图像变化检测中噪声对检测精度的影响,提出一种基于免疫克隆结合小波变换的新算法.首先利用小波多尺度和低通平滑的特性,构造多层差异影像;再通过免疫克隆算法修正小波变换插零和卷积操作带来的图像空域偏差,对运用瑞利高斯模型分割得到的初始结果进行二次线性插值的匹配;最后经图像融合得到变化检测结果.仿真实验表明,这种算法不仅降低了图像噪声的影响,而且有效地抑制了由小波变换带来的图像偏移误差,显著地提高了变化检测精度.In order to reduce the impact of noises on detection accuracy in change detection for remote sensing images, a novel change detection method is proposed based on the immune clone algorithm and wavelet transform. Firstly, the multi-scale and low-pass smoothing characteristics of wavelet transform are utilized to construct multilayered difference images. Secondly the time domain deviations caused by operation of zero insertion and image convolution in wavelet transform are corrected by the immune clonal algorithm that the initial segmentation results obtained using the Rayleigh-Gauss model are matched by the secondary linear interpolation operation. Finally, the change detection is accomplished by image fusion. Simulation results show that the algorithm can not only reduce the image noises, but also suppress the image deviations caused by wavelet transform effectively. The accuracy of change detection is improved significantly.

关 键 词：变化检测 免疫克隆算法 小波变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]