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| 利用最小二乘的雷达干涉PS相位解缠方法 | |
| 引用本文： | 桑明智,刘国祥,于冰,张瑞,贾宏亮.利用最小二乘的雷达干涉PS相位解缠方法[J].测绘科学,2012,37(3):124-126. |
| 作者姓名： | 桑明智 刘国祥 于冰 张瑞 贾宏亮 |
| 作者单位： | 1. 西南交通大学测量工程系,成都610031;中铁工程设计咨询集团有限公司,北京100020 2. 中铁工程设计咨询集团有限公司,北京,100020 3. 西南交通大学测量工程系,成都,610031 |
| 基金项目： | 国家自然科学基金，教育部新世纪优秀人才支持计划 |
| 摘 要： | 常规DInSAR技术中,时空失相关及大气延迟等因素的影响限制了相位解缠结果的精度。永久散射体(PS)InSAR方法间接克服了常规雷达干涉中的时空失相关问题,单独对PS这种高相干目标进行相位解缠可以避免失相关噪声对解缠结果的影响。本文在已有相位解缠方法的基础上,提出基于最小二乘的稀疏PS点相位解缠方法,陈述了相应的建模思想及相关数据处理方法;分别基于模拟数据和真实数据(日本ALOS卫星获取的PALSAR L波段数据)对所提方法进行了实验验证。结果表明,该方法能够有效地对PS数据集进行相位解缠。 |
| 关 键 词： | 永久散射体 相位解缠 最小二乘算法 |
A method of Radar interferometry PS phase unwrapping based on Least Squares |
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| SANG Ming-zhi , LIU Guo-xiang , YU Bing , ZHANG Rui , JIA Hong-liang.A method of Radar interferometry PS phase unwrapping based on Least Squares[J].Science of Surveying and Mapping,2012,37(3):124-126. | |
| Authors: | SANG Ming-zhi LIU Guo-xiang YU Bing ZHANG Rui JIA Hong-liang |
| Institution: | ①(①Dept.of Surveying Engineering,Southwest Jiaotong University,Chengdu 610031,China;②China Railway Engineering Consultants Group,Beijing 100020,China) |
| Abstract: | The Persistent Scatterer(PS) technique can overcome the influences of both spatio-temporal decorrelation and atmospheric delay which limit the accuracy of phase unwrapping in the conventional differential synthetic aperture radar interferometry(DInSAR).An approach to avoid precision losing due to decorrelation is to carry out the unwrapping operation on the sparse PS with high coherence independently.This paper proposed a method for sparse PS phase unwrapping based on the least squares method.The modeling ideology and data processing method were expounded.The experiments of PS phase unwrapping presented here were finally performed by using the simulated data and the L-band SAR data acquired by Japanese satellite ALOS,respectively.The results demonstrated that the phase unwrapping method explored in this paper was effective and reliable. |
| Keywords: | Persistent Scatterer(PS) phase unwrapping Least Squares method |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |