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The Coherent Pixels Technique (CPT): An advanced DInSAR technique for nonlinear deformation monitoring

机译:相干像素技术(CPT):一种用于非线性变形监测的高级DInSAR技术

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This paper shows the potential applicability of orbital Synthetic Aperture Radar (SAR) Differential Interferometry (DInSAR) with multiple images for terrain deformation episodes monitoring. This paper is focused on the Coherent Pixels Technique (CPT) developed at the Remote Sensing Laboratory (RSLab) of the Universitat Politecnica de Catalunya (UPC). CPT is able to extract from a stack of differential interferograms the deformation evolution over vast areas during wide spans of time. The former is achieved thanks to the coverage provided by current SAR satellites, like ESA's ERS or ENVISAT, while the latter due to the large archive of images acquired since 1992. An interferogram is formed by the complex product of two SAR images (one complex conjugate) and its phase contains information relative to topography, terrain deformation and atmospheric conditions among others. The goal of differential interferometric processing is to retrieve and separate the different contributions. The processing scheme is composed of three main steps: firstly, the generation of the best interferogram set among all the available images of the zone under study; secondly, the selection of the pixels with reliable phase within the employed interferograms and, thirdly, their phase analysis to calculate, as the main result, their deformation time series within the observation period. In this paper, the Coherent Pixels Technique (CPT) is presented in detail as well as the result of its application in different scenarios. Results reveal its practical utility for detecting and reproducing deformation episodes, providing a valuable tool to the scientific community for the understanding of considerable geological process and to monitor the impact of underground human activity.
机译:本文展示了轨道合成孔径雷达(SAR)微分干涉术(DInSAR)的潜在适用性,其中多幅图像可用于监测地形变形事件。本文重点介绍由加泰罗尼亚理工大学(UPC)的遥感实验室(RSLab)开发的相干像素技术(CPT)。 CPT能够从一堆微分干涉图中提取在宽广时间范围内大范围内的变形演化。前者的实现归功于当前的SAR卫星提供的覆盖范围,例如ESA的ERS或ENVISAT,而后者则归因于1992年以来获得的大量图像存档。干涉图由两张SAR图像的复积形成(一个复共轭)。 )及其阶段包含有关地形,地形变形和大气条件等方面的信息。差分干涉测量处理的目标是检索和分离不同的贡献。该处理方案包括三个主要步骤:首先,在研究区域的所有可用图像中生成最佳干涉图。其次,在所采用的干涉图中选择具有可靠相位的像素,其次,对其相位进行分析,以计算其在观察期内的变形时间序列作为主要结果。在本文中,将详细介绍相干像素技术(CPT)及其在不同场景中的应用结果。结果揭示了其检测和再现变形事件的实用工具,为科学界提供了宝贵的工具,帮助他们了解相当大的地质过程并监测地下人类活动的影响。

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