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MICROWAVE RADIATION IMAGING APPROACH BASED ON SPARSE REPRESENTATION
Yang, Xiaocheng; Ding, Lurong; Wu, Long; Yan, Jingye; Wu, Ji; Wu, Lin; Lv, Wentao; Yang, XC (reprint author), Zhejiang Sci Tech Univ, Sch Informat & Sci Technol, Hangzhou, Zhejiang, Peoples R China.
作者部门微波遥感部
会议录名称2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
2016
页码430-433
语种英语
ISSN号2153-6996
ISBN号978-1-5090-3332-4
摘要Based on sparsity or compressibility of microwave radiation images, Compressive Sensing in this paper is adopted to achieve microwave radiation imaging in order to reduce the complexity and hardware cost of the imaging system and get the image of high spatial resolution. Compared with the common wavelet basis, differential matrix is proposed to sparsely represent microwave radiation images. OMP algorithm is adopted to reconstruct the microwave radiation image. The simulation results show that the differential matrix to sparsely represent microwave radiation images is better than the wavelet.
关键词Microwave Radiometer Sparse Representation Compressive Sensing Sparse Basis Imaging Approach
会议名称36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期JUL 10-15, 2016
会议地点Beijing, PEOPLES R CHINA
收录类别EI ; CPCI
文献类型会议论文
条目标识符http://ir.nssc.ac.cn/handle/122/5781
专题微波遥感部
通讯作者Yang, XC (reprint author), Zhejiang Sci Tech Univ, Sch Informat & Sci Technol, Hangzhou, Zhejiang, Peoples R China.
推荐引用方式
GB/T 7714
Yang, Xiaocheng,Ding, Lurong,Wu, Long,et al. MICROWAVE RADIATION IMAGING APPROACH BASED ON SPARSE REPRESENTATION[C],2016:430-433.
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