Abstract

With the development of high-resolution Synthetic Aperture Radar (SAR) systems, researchers are increasingly paying attention to the application of SAR offset tracking methods in ground deformation estimation. The traditional normalized cross correlation (NCC) tracking method is based on regular matching windows. For areas with different moving characteristics, especially the landslide boundary areas, the NCC method will produce incorrect results. This is because in landslide boundary areas, the pixels of the regular matching window include two or more types of moving characteristics: some pixels with large displacement, and others with small or no displacement. These two kinds of pixels are uncorrelated, which result in inaccurate estimations. This paper proposes a new offset tracking method with SAR images based on the adaptive matching window to improve the accuracy of landslide displacement estimation. The proposed method generates an adaptive matching window that only contains pixels with similar moving characteristics. Three SAR images acquired by the Jet Propulsion Laboratory’s Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) system are selected to estimate the surface deformation of the Slumgullion landslide located in the southwestern Colorado, USA. The results show that the proposed method has higher accuracy than the traditional NCC method, especially in landslide boundary areas. Furthermore, it can obtain more detailed displacement information in landslide boundary areas.

Highlights

  • A landslide is a kind of destructive geological disaster that causes enormous economic losses and threatens human lives [1]

  • This paper analyzes the principle of the classical offset tracking method (NCC) based on the

  • This paper analyzes the principle of the classical offset tracking method (NCC) based on the regular window, and we find that it has lower accuracy in the boundary area

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Summary

Introduction

A landslide is a kind of destructive geological disaster that causes enormous economic losses and threatens human lives [1]. Remote sensing is a rapid and accurate tool that has been used in monitoring landslides for decades [2,3]. Aperture Radar (SAR) can work under any weather and illumination conditions [4]. It has been widely used in many different applications, such as topography inversion [5,6], forest investigation [7,8], ocean observation [9] and geohazards monitoring [10,11,12,13,14]. The differential interferometric SAR (D-InSAR) technology and the offset tracking method with SAR images have been widely used. The D-InSAR technology can monitor ground deformation with high precision

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