| 题名: | MICROWAVE RADIATION IMAGING APPROACH BASED ON SPARSE REPRESENTATION |
| 作者: | Yang, Xiaocheng; Ding, Lurong; Wu, Long; Yan, Jingye; Wu, Ji; Wu, Lin; Lv, Wentao
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| 作者部门: | 微波遥感部
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| 通讯作者: | Yang, XC (reprint author), Zhejiang Sci Tech Univ, Sch Informat & Sci Technol, Hangzhou, Zhejiang, Peoples R China.
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| 会议名称: | 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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| 会议日期: | JUL 10-15, 2016
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| 会议地点: | Beijing, PEOPLES R CHINA
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| 会议录: | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
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| 出版日期: | 2016
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| 收录类别: | EI
; CPCI
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| 页码: | 430-433
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| ISSN号: | 2153-6996
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| ISBN号: | 978-1-5090-3332-4
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| 关键词: | microwave radiometer
; sparse representation
; compressive sensing
; sparse basis
; imaging approach
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| 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. |
| 语种: | 英语
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| 内容类型: | 会议论文
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| URI标识: | http://ir.nssc.ac.cn/handle/122/5781
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| Appears in Collections: | 微波遥感部_会议论文
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| 201607729106.pdf（383KB） | 会议论文 | -- | 限制开放 | | View
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| Recommended Citation: | |
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.
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