干涉合成孔径雷达
合成孔径雷达
推论
反演(地质)
统计推断
计算机科学
遥感
地质学
算法
大地测量学
人工智能
数据挖掘
地震学
数学
统计
构造学
作者
Chisheng Wang,Ling Chang,Xiang‐Sheng Wang,Bochen Zhang,Alfred Stein
出处
期刊:IEEE Geoscience and Remote Sensing Magazine
[Institute of Electrical and Electronics Engineers]
日期:2024-03-01
卷期号:12 (1): 8-35
被引量:2
标识
DOI:10.1109/mgrs.2023.3344159
摘要
With the rapid advancements in synthetic aperture radar (SAR) satellites and associated processing algorithms over recent decades, interferometric SAR (InSAR) has emerged as a routine method for monitoring large-scale ground deformation and interpreting geophysical processes. Statistical inference serves as a major component in InSAR technique developments and applications. This article provides an overview of InSAR deformation measurement and InSAR-constrained geophysical inversion, using a statistical inference point of view. Its objectives are to facilitate understanding of the method by addressing its underlying mathematical challenges. We begin by introducing the concept of statistical inference and the structure of our content organization framework. Next, we investigate the distinct concerns associated with statistical inference in InSAR deformation measurement and InSAR-constrained geophysical inversion. Finally, we propose several significant directions for future research. Table 1 includes abbreviations used throughout this article. Additionally, we highlight relevant resources, such as mathematical background, open source codes, and data repositories, in an appendix, which is available as supplementary material at https://doi.org/10.1109/MGRS.2023.3344159 .
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