MICROWAVE RADIATION IMAGING APPROACH BASED ON SPARSE REPRESENTATION

	MICROWAVE RADIATION IMAGING APPROACH BASED ON SPARSE REPRESENTATION
	Yang, Xiaocheng; Ding, Lurong; Wu, Long; Yan, Jingye; Wu, Ji; Wu, Lin; Lv, Wentao
	2016
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
关键词	microwave radiometer sparse representation compressive sensing sparse basis imaging approach
页码	430-433
通讯作者	Yang, XC (reprint author), Zhejiang Sci Tech Univ, Sch Informat & Sci Technol, Hangzhou, Zhejiang, Peoples R China.
英文摘要	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.
收录类别	CPCI
会议录	2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
语种	英语
ISSN号	2153-6996
ISBN号	978-1-5090-3332-4
内容类型	会议论文
源URL	[http://ir.nssc.ac.cn/handle/122/5781]
专题	国家空间科学中心_微波遥感部
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]. 见:36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing, PEOPLES R CHINA. JUL 10-15, 2016.