| 时空三维相位解缠算法改进研究 |
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| 引用本文： | 余洁,王少华,焦帅,朱琳,常占强,陈蜜.时空三维相位解缠算法改进研究[J].武汉大学学报(信息科学版),2019,44(9):1355-1362. |
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| 作者姓名： | 余洁 王少华 焦帅 朱琳 常占强 陈蜜 |
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| 作者单位： | 1.首都师范大学城市环境过程与数字模拟国家重点实验室培育基地, 北京, 100048 |
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| 基金项目： | 国家自然科学基金41671417科技创新服务能力建设-基本科研业务费（科研类）025185305000/191 |
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| 摘 要： | 三维相位解缠是时序干涉合成孔径雷达（interferometric synthetic aperture radar，InSAR）技术的关键环节之一，解缠结果直接影响时序InSAR地面沉降监测的精度。针对地面沉降严重、地形坡度变化较大的区域，因相位欠采样引起的整周期解缠误差问题，提出了一种基于频域置信度的加权最小二乘相位解缠算法，并以此替代时空三维相位解缠中空间维以相位梯度为权重的加权最小二乘相位解缠算法。通过提高相位坡度变化估计的准确性，进而提高时空三维相位解缠的精度和稳定性。以北京地区地面沉降监测为例进行了验证，结果表明，与经典的时空三维相位解缠算法相比，改进算法得到的沉降监测结果精度更高，特别是对于坡度变化较大、失相干现象明显的沉降漏斗区，其沉降监测精度有明显改善。
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| 关 键 词： | 时空三维相位解缠 地形坡度 频域置信度 地面沉降监测 |
| 收稿时间： | 2018-07-19 |
Improvement of Spatio-Temporal Three-Dimensional Phase Unwrapping Algorithm |
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| Abstract: | Three-dimensional phase unwrapping is one of the key steps of time-series interferometric synthetic aperture radar (InSAR) technology. The unwrapping results directly affect the accuracy of time-series InSAR land subsidence monitoring. Aiming at the problem of the whole period unwrapping error caused by phase undersampling in areas with serious land subsidence and large change of terrain slope, a weighted least squares phase unwrapping algorithm based on frequency confidence is proposed, which replaces the weighted least squares phase unwrapping algorithm based on phase gradient in the time-dependent three-dimensional phase. By improving the accuracy of phase slope change estimation, the accuracy and stability of spatio-temporal three-dimensional phase unwrapping can be improved. The land subsidence results of the typical area in Beijing are obtained by using the improved spatio-temporal three-dimensional phase unwrapping method. Compared with the classical spatio-temporal three-dimensional phase unwrapping method, the improved method can obtain higher accuracy of land subsidence monitoring results. Especially for the subsidence funnel region where the slope changes greatly and the decorrelation exists obviously, the subsidence monitoring accuracy has improved significantly. |
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