Millimeter-Wave InSAR Image Reconstruction Approach by Total Variation Regularized Matrix Completion
文献类型:期刊论文
作者 | Zhang, Yilong1,2; Miao, Wei1,2; Lin, Zhenhui1,2; Gao, Hao1,2; Shi, Shengcai1,2 |
刊名 | REMOTE SENSING |
出版日期 | 2018-07-01 |
卷号 | 10期号:7页码:16 |
ISSN号 | 2072-4292 |
关键词 | millimeter-wave interferometric synthetic aperture radiometer image reconstruction total variation matrix completion undersampling |
DOI | 10.3390/rs10071053 |
英文摘要 | Millimeter-wave interferometric synthetic aperture radiometer (InSAR) can provide high-resolution observations for many applications by using small antennas to achieve very large synthetic aperture. However, reconstruction of a millimeter-wave InSAR image has been proven to be an ill-posed inverse problem that degrades the performance of InSAR imaging. In this paper, a novel millimeter-wave InSAR image reconstruction approach, referred to as InSAR-TVMC, by total variation (TV) regularized matrix completion (MC) in two-dimensional data space, is proposed. Based on the a priori knowledge that natural millimeter-wave images statistically hold the low-rank property, the proposed approach represents the object images as low-rank matrices and formulates the data acquisition of InSAR in two-dimensional data space directly to undersample visibility function samples. Subsequently, using the undersampled visibility function samples, the optimal solution of the InSAR image reconstruction problem is obtained by simultaneously adopting MC techniques and TV regularization. Experimental results on simulated and real millimeter-wave InSAR image data demonstrate the effectiveness and the significant improvement of the reconstruction performance of the proposed InSAR-TVMC approach over conventional and one-dimensional sparse InSAR image reconstruction approaches. |
WOS关键词 | TOTAL-VARIATION MINIMIZATION ; THRESHOLDING ALGORITHM ; NEAR-FIELD ; APERTURE ; RADIOMETRY ; RANK |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000440332500076 |
源URL | [http://libir.pmo.ac.cn/handle/332002/21584] |
专题 | 中国科学院紫金山天文台 |
通讯作者 | Zhang, Yilong |
作者单位 | 1.Chinese Acad Sci, Purple Mt Observ, Nanjing 210034, Jiangsu, Peoples R China 2.Chinese Acad Sci, Key Lab Radio Astron, Nanjing 210034, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Yilong,Miao, Wei,Lin, Zhenhui,et al. Millimeter-Wave InSAR Image Reconstruction Approach by Total Variation Regularized Matrix Completion[J]. REMOTE SENSING,2018,10(7):16. |
APA | Zhang, Yilong,Miao, Wei,Lin, Zhenhui,Gao, Hao,&Shi, Shengcai.(2018).Millimeter-Wave InSAR Image Reconstruction Approach by Total Variation Regularized Matrix Completion.REMOTE SENSING,10(7),16. |
MLA | Zhang, Yilong,et al."Millimeter-Wave InSAR Image Reconstruction Approach by Total Variation Regularized Matrix Completion".REMOTE SENSING 10.7(2018):16. |
入库方式: OAI收割
来源:紫金山天文台
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