| 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 Publication | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
| 2016 | |
| Pages | 430-433 |
| Language | 英语 |
| ISSN | 2153-6996 |
| ISBN | 978-1-5090-3332-4 |
| Abstract | 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. |
| Keyword | Microwave Radiometer Sparse Representation Compressive Sensing Sparse Basis Imaging Approach |
| Conference Name | 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
| Conference Date | JUL 10-15, 2016 |
| Conference Place | Beijing, PEOPLES R CHINA |
| Indexed By | EI ; CPCI |
| Document Type | 会议论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/5781 |
| Collection | 微波遥感部 |
| Corresponding Author | Yang, 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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| File Name/Size | DocType | Version | Access | License | ||
| 201607729106.pdf（383KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Download | ||
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