MICROWAVE RADIATION IMAGING APPROACH BASED ON SPARSE REPRESENTATION

NSSC OpenIR > 微波遥感部

	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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