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A high-resolution insar time series analysis method for inversion of ground object elevation and land subsidence

A high-resolution, time-series analysis technology, applied in measurement devices, radio wave measurement systems, radio wave reflection/re-radiation, etc.

Inactive Publication Date: 2017-02-22
CHINA AERO GEOPHYSICAL SURVEY & REMOTE SENSING CENT FOR LAND & RESOURCES
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Problems solved by technology

However, such high-resolution DEM data are often difficult to obtain
Therefore, this method of compensating the elevation of the entire pixel through an external DEM (such as SRTM) will be difficult to apply in high-resolution data processing, and it is necessary to study the method of accurate calculation of the elevation of a single object

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  • A high-resolution insar time series analysis method for inversion of ground object elevation and land subsidence
  • A high-resolution insar time series analysis method for inversion of ground object elevation and land subsidence
  • A high-resolution insar time series analysis method for inversion of ground object elevation and land subsidence

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Embodiment Construction

[0071] Taking the Cosmo-skymed InSAR monitoring the land subsidence in the Lujiazui area of ​​Shanghai as an example, the specific operation steps of the present invention in practical engineering applications are described. like image 3 As shown, the present invention is a method for high-resolution InSAR time series analysis and inversion of ground object elevation and subsidence, and the specific steps of the method are as follows:

[0072] Step 1: Selection of high-resolution SAR data

[0073] The Cosmo-skymed 3m resolution radar data covering the main urban area of ​​Shanghai was selected. The acquisition time was from December 2008 to June 2010, the time span was one and a half years, and the number of data sets was 35 scenes. The Cosmo-skymed system is a constellation of four radar satellites jointly funded by the Italian Ministry of Defense and the Space Agency and developed by Alenia Aerospace. Its 3-meter resolution data width is 40km×40km, the azimuth and range b...

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Abstract

A method for inversion of the ground feature high elevation and the number of land subsidence through high resolution InSAR timing sequence analysis includes the first step of high resolution SAR data selection, the second step of initial elevation phase estimation, the third step of selection of InSAR timing sequences, analysis of an interference image pair data set and extraction of coherent target candidate points, the fourth step of elevation phase correction and linear deformation component estimation, and the fifth step of deformation sequence estimation of coherent targets. According to the method, the defect that no high resolution DEM is available for removal of high-rise building additional phases in urban area high resolution InSAR deformation monitoring data processing can be overcome, the additional phases and deformation phases of urban high-rise buildings in the high resolution InSAR are effectively separated, and therefore monitoring precision of the high resolution InSAR in urban area land subsidence is greatly improved.

Description

technical field [0001] 本发明涉及一种高分辨率InSAR时序分析反演地物高程与地面沉降量的方法,属于合成孔径雷达干涉测量技术(InSAR)领域。它能够有效地将城市高层建筑物在高分辨率InSAR干涉图中的附加相位与形变相位进行分离,可以大大提高高分辨率InSAR在城区地面沉降中的监测精度。 Background technique [0002] 利用InSAR求解高程(DEM)或者形变量,相位解缠是必须的步骤之一,这一步骤在差分干涉处理中称为解缠,而在时序分析方法中则称为参数估计,其实质是求解缠绕相位的整周数,基本过程是求解相邻点间的相位差,然后按照特定的路径或网络以一定的约束条件进行积分,求解观测范围整体的解缠相位,进而反演形变场或高程。相位解缠的前提是干涉图连续分布且变化平缓,满足相位差小于π的约束条件,整个相位场为无旋场,解缠结果不随路径而变。而实际上干涉图受噪声或不连续相位(如不连续的陡坡)的影响,难以满足解缠条件,因而需要按照给定路径求解后再进行连接。高分辨率条件下城市高层建筑物所引起的相位变化类似于非连续的陡坡相位。对于求解高程而言,条纹密度随基线的增大而密集,且存在与形变条纹混合的可能。因而,如何同时解算高程和形变相位,提高形变量估计的精度是高分辨率InSAR应用面临的主要难题。 [0003] 地形相位补偿是InSAR时序分析处理过程中差分相位求取的基本步骤,同时地物高程也是InSAR时序分析的主要解算结果。中等分辨率SAR数据中表现为一个或者几个点目标的像元在高分辨率雷达数据中以数个点目标表现出来,每个散射体的散射中心不同,如一栋建筑物,在中分SAR图像中表现为一个点目标,而在高分SAR图像中以多个不同的散射体表现出来。对高分辨率InSAR地形相位补偿的最直接方法是获取每个散射中心高精度的DEM数据,利用Lidar、TanDEM-X等获取的DEM数据实现近似同等分辨率差分干涉处理的高程相位补偿。然而这种高分辨率的DEM数据很多情况下难以获得。因此,这种通过外部DEM(如SRTM)补偿整个像元高程的方法在高分辨率数据处理中将难以适用,需要研究单个目标高程精确计算的方法。 [0004] 在InSAR干涉图中,干涉条纹的频率与基线的关系如 figure 1 所示,同等高程下,基线越短,条纹越稀疏,利于...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G01S13/90
Inventor 葛大庆王艳刘斌张玲李曼郭小方
Owner CHINA AERO GEOPHYSICAL SURVEY & REMOTE SENSING CENT FOR LAND & RESOURCES