顾及时空特性的SBAS高质量点选取算法

doi:10.11947/j.AGCS.2015.20140547

测绘学报 ›› 2015, Vol. 44 ›› Issue (11): 1246-1254.doi: 10.11947/j.AGCS.2015.20140547

顾及时空特性的SBAS高质量点选取算法

熊文秀, 冯光财, 李志伟, 杜亚男, 李宁

中南大学地球科学与信息物理学院, 湖南长沙 410083

收稿日期:2014-10-24 修回日期:2015-01-16 出版日期:2015-11-20 发布日期:2015-11-25
通讯作者: 冯光财,E-mail:fredgps@csu.edu.cn E-mail:fredgps@csu.edu.cn
作者简介:熊文秀(1991-),女,硕士,研究方向为时序InSAR监测地面沉降工作。E-mail:wenxiu_csu@csu.edu.cn
基金资助:
国家自然科学基金(41104003; 41222027)

High Quality Targets Selection in SBAS-InSAR Technique by Considering Temporal and Spatial Characteristic

XIONG Wenxiu, FENG Guangcai, LI Zhiwei, DU Yanan, LI Ning

School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaAbstract

Received:2014-10-24 Revised:2015-01-16 Online:2015-11-20 Published:2015-11-25
Supported by:
The National Natural Science Foundation of China(Nos. 4110400341222027)

摘要/Abstract

摘要： SBAS技术中常用的相干系数选点方法受旁瓣效应的影响,容易造成部分高质量点的漏选以及低质量点的误选。针对这一问题,本文提出了顾及时空特性的SBAS高质量点选取算法,根据干涉相位各个成分的空间特性,分离出噪声相位判别点的质量。试验表明考虑同质点的Non-Local滤波能够更加可靠地提取干涉相位中的空间相关相位,从而提高噪声相位估计的准确性。利用覆盖上海地区1992-1998年的24景JERS-1影像作为试验数据,分别用相干系数法以及本文的方法进行选点。结果表明本文算法能够有效地选出相干系数法在农田与村落交错地区漏选的高质量点,同时排除了相干系数法由于旁瓣效应影响的误选点。

关键词: SBAS, 高质量点, 同质点, Non-Local滤波

Abstract: Traditional coherence-based point-selection method in the SBAS technique is often suffered from the side lobe effect problem, which can result in the omission of partial high-quality points and reservation of partial low-quality points. A new algorithm to select high-quality points is proposed in the SBAS technique by quantifying the separated noise phase component. Compared with the traditional filtering methods, it is found that the Non-Local algorithm considering the homogeneous points can accurately separate spatially-correlated phase from the unwrapping differential interferometric phase, and then the precision of the noise phase component estimation is improved. Coherence-based approach and our new algorithm are compared by selecting high-quality points and mapping the surface deformation of the test area in Shanghai. There it is utilized the 24 JERS-1 SAR images acquired from 1992 to 1998. The results suggest that the proposed algorithm not only can select the high-quality points in fields covered by farmlands and hamlets which are omitted by coherence-based method, but also can effectively exclude the points extracted by coherence-based method due to the side lobe effect.

Key words: SBAS, high-quality points, homogeneous points, Non-Local filter

中图分类号:

P237

熊文秀, 冯光财, 李志伟, 杜亚男, 李宁. 顾及时空特性的SBAS高质量点选取算法[J]. 测绘学报, 2015, 44(11): 1246-1254.

XIONG Wenxiu, FENG Guangcai, LI Zhiwei, DU Yanan, LI Ning. High Quality Targets Selection in SBAS-InSAR Technique by Considering Temporal and Spatial Characteristic[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(11): 1246-1254.

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顾及时空特性的SBAS高质量点选取算法

High Quality Targets Selection in SBAS-InSAR Technique by Considering Temporal and Spatial Characteristic

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