Enhancing MTInSAR Phase Unwrapping in Decorrelating Environments by Spatiotemporal Observation Optimization
文献类型：期刊论文
| 作者 | Liang, Hongyu; Zhang, Lei; Li, Xin2 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2023-05-01 |
| 卷号 | 20页码:4002505 |
| 关键词 | Coherence Synthetic aperture radar Image edge detection Decorrelation Radar polarimetry Estimation Windows Minimum spanning tree (MST) multitemporal interferometric synthetic aperture radar (MTInSAR) phase unwrapping (PhU) redundant network |
| DOI | 10.1109/LGRS.2023.3244824 |
| 文献子类 | Article |
| 英文摘要 | In multitemporal interferometric synthetic aperture radar (MTInSAR) processing, phase unwrapping (PhU) is a vital procedure, which affects the accurate deformation retrieval, especially in environments suffering decorrelation. Although a great surge of work focuses on solving the integers of $2\pi $ associated with the wrapped observations (i.e., the inputs of unwrapping algorithms), the quality of inputs deserves an equal attention, as it is a basis for a reliable unwrapping. In this letter, we seek to improve the PhU accuracy by enhancing the entire quality of differential phase observations. To select an optimal interferogram stack efficiently, we propose a quadtree-based coherence estimation method for fast evaluating the interferogram quality and then develop a strategy that constructs redundant networks connecting synthetic aperture radar (SAR) images and points, respectively. The proposed strategy utilizes the combination of minimum spanning tree (MST) and triangular closure to determine the pair of image/point included in the network. We validate the effectiveness of our method by Sentine-1 SAR data over Shenzhen airport, where decorrelated scatterers with weak backscattering energy in runways challenge a reliable subsidence extraction. The cross-comparison indicates the importance of the quality of inputs that affects the point connectivity in both temporal and spatial dimensions. |
| WOS关键词 | INTERFEROMETRY |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000946308200004 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200781]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liang, Hongyu,Zhang, Lei,Li, Xin. Enhancing MTInSAR Phase Unwrapping in Decorrelating Environments by Spatiotemporal Observation Optimization[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2023,20:4002505. |
| APA | Liang, Hongyu,Zhang, Lei,&Li, Xin.(2023).Enhancing MTInSAR Phase Unwrapping in Decorrelating Environments by Spatiotemporal Observation Optimization.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,20,4002505. |
| MLA | Liang, Hongyu,et al."Enhancing MTInSAR Phase Unwrapping in Decorrelating Environments by Spatiotemporal Observation Optimization".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 20(2023):4002505. |
入库方式： OAI收割
来源：地理科学与资源研究所
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