Suppression of Coherence Matrix Bias for Phase Linking and Ambiguity Detection in MTInSAR
文献类型：期刊论文
| 作者 | Liang, Hongyu1; Zhang, Lei1 ; Ding, Xiaoli1; Lu, Zhong2; Li, Xin3; Hu, Jun4; Wu, Songbo1
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| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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| 出版日期 | 2021-02-01 |
| 卷号 | 59期号:2页码:1263-1274 |
| 关键词 | Coherence Decorrelation Synthetic aperture radar Estimation Strain Radar polarimetry Iterative methods Distributed scatterer (DS) interferometric synthetic aperture radar (InSAR) phase decorrelation distributed scatterer weighted least squares (WLS) |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2020.3000991 |
| 通讯作者 | Zhang, Lei(lslzhang@polyu.edu.hk) |
| 英文摘要 | Phase decorrelation, as one of the main error sources, limits the capability of interferometric synthetic aperture radar (InSAR) for deformation mapping over areas with low coherence. Although several methods have been realized to reduce decorrelation noise, for example, by phase linking and spatial and temporal filters, their performances deteriorate when coherence estimation bias exists. We present an arc-based approach that allows reconstructing unwrapped interval phase time-series based on iterative weighted least squares (WLS) in temporal and spatial domains. The main features of the method are that phase optimization and unwrapping can be jointly conducted by spatial and temporal iterative WLS and coherence matrix bias has negligible effects on the estimation. In addition, the linear formation makes the implementation suitable with small subset of interferograms, providing an efficient solution for future big SAR data. We demonstrate the effectiveness of the proposed method using simulated and real data with different decorrelation mechanisms and compare our approach with the state-of-art phase reconstruction methods. Substantial improvement can be achieved in terms of reduced root-mean-square error (RMSE) in the simulation data and increased density of coherent measurements in the real data. |
| 资助项目 | National Natural Science Foundation of China[41774023] ; National Natural Science Foundation of China[41304011] ; National Natural Science Foundation of China[41874030] ; National Natural Science Foundation of China[41674010] ; Research Grants Council of Hong Kong[PolyU152232/17E] ; Research Grants Council of Hong Kong[PolyU152164/18E] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000611222400026 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Research Grants Council of Hong Kong |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136144]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Lei |
| 作者单位 | 1.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China 2.South Methodist Univ, Roy M Huffington Dept Earth Sci, Dallas, TX 75275 USA 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liang, Hongyu,Zhang, Lei,Ding, Xiaoli,et al. Suppression of Coherence Matrix Bias for Phase Linking and Ambiguity Detection in MTInSAR[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021,59(2):1263-1274. |
| APA | Liang, Hongyu.,Zhang, Lei.,Ding, Xiaoli.,Lu, Zhong.,Li, Xin.,...&Wu, Songbo.(2021).Suppression of Coherence Matrix Bias for Phase Linking and Ambiguity Detection in MTInSAR.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(2),1263-1274. |
| MLA | Liang, Hongyu,et al."Suppression of Coherence Matrix Bias for Phase Linking and Ambiguity Detection in MTInSAR".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.2(2021):1263-1274. |
入库方式： OAI收割
来源：地理科学与资源研究所
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