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Improvement of the Accuracy of InSAR Image Co-Registration Based On Tie Points – A Review

机译:基于联系点的InSAR图像共配准精度的提高–综述

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摘要

Interferometric Synthetic Aperture Radar (InSAR) is a new measurement technology, making use of the phase information contained in the Synthetic Aperture Radar (SAR) images. InSAR has been recognized as a potential tool for the generation of digital elevation models (DEMs) and the measurement of ground surface deformations. However, many critical factors affect the quality of InSAR data and limit its applications. One of the factors is InSAR data processing, which consists of image co-registration, interferogram generation, phase unwrapping and geocoding. The co-registration of InSAR images is the first step and dramatically influences the accuracy of InSAR products. In this paper, the principle and processing procedures of InSAR techniques are reviewed. One of important factors, tie points, to be considered in the improvement of the accuracy of InSAR image co-registration are emphatically reviewed, such as interval of tie points, extraction of feature points, window size for tie point matching and the measurement for the quality of an interferogram.
机译:干涉式合成孔径雷达(InSAR)是一种新的测量技术,它利用了合成孔径雷达(SAR)图像中包含的相位信息。 InSAR被公认为是生成数字高程模型(DEM)和测量地表变形的潜在工具。但是,许多关键因素会影响InSAR数据的质量并限制其应用。因素之一是InSAR数据处理,它包括图像共配准,干涉图生成,相位展开和地理编码。 InSAR图像的共配准是第一步,并且会极大地影响InSAR产品的准确性。本文综述了InSAR技术的原理和处理过程。着重研究了在提高InSAR图像共配准精度时要考虑的重要因素之一,如联络点的间隔,特征点的提取,联络点匹配的窗口大小以及对联络点的测量。干涉图的质量。

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