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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.
Department微波遥感部
Source Publication2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
2016
Pages430-433
Language英语
ISSN2153-6996
ISBN978-1-5090-3332-4
AbstractBased 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.
KeywordMicrowave Radiometer Sparse Representation Compressive Sensing Sparse Basis Imaging Approach
Conference Name36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference DateJUL 10-15, 2016
Conference PlaceBeijing, PEOPLES R CHINA
Indexed ByEI ; CPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/5781
Collection微波遥感部
Corresponding AuthorYang, XC (reprint author), Zhejiang Sci Tech Univ, Sch Informat & Sci Technol, Hangzhou, Zhejiang, Peoples R China.
Recommended Citation
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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