文章基本信息

标题：FUSION ALGORITHM OF OPTICAL IMAGES AND SAR WITH SVT AND SPARSE REPRESENTATION
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作者：Yin Zhouping
期刊名称：International Journal on Smart Sensing and Intelligent Systems
印刷版ISSN：1178-5608
出版年度：2015
卷号：8
期号：2
页码：1123-1141
出版社：Massey University
摘要：Due to the different imaging mechanism of optical image and Synthetic Aperture Radar (SAR)image, they have the large different characteristics between the images, so fusing optical image andSAR image with image fusion technology could complement advantages and be able to better interpretthe scenes information. A fusion algorithm of Synthetic Aperture Radar and optical image with fastsparse representation on low-frequency images was proposed. For the disadvantage of targetinformation easily missing and the contrast low in fused image, and the fusion method with sparserepresentation could effectively retain target information of Synthetic Aperture Radar image, so thepaper fuses low frequency images of Synthetic Aperture Radar and optical images using sparserepresentation. Moreover a new sparse coefficient fusion rules is proposed, and sparse decompositionprocess is improved to reduce the algorithm running time. Experimental results demonstrate theeffectiveness of the algorithm.
关键词：fusion algorithm; SAR; optical images; sparse representation; algorithm running time; Support;Value Transform