Monitoring Method of Landslide Displacement Field Based on High-Resolution Images and ASIFT Algorithm

被引：1

作者：

Zhang H.-H. ^{[1
,2
]}

Liu S.-J. ^{[1
]}

Wang R. ^{[1
]}

机构：

[1] School of Resources & Civil Engineering, Northeastern University, Shenyang

[2] Surveying and Mapping Department, Liaoning Provincial College of Communications, Shenyang

来源：

Liu, Shan-Jun (liusjdr@126.com) | 2017年 / Northeast University卷 / 38期

关键词：

ASIFT; Displacement field; High-resolution image; Landslide; Monitoring;

D O I：

10.12068/j.issn.1005-3026.2017.10.020

中图分类号：

学科分类号：

摘要：

In view of the shortcomings of displacement field of large deformation landslide with SIFT algorithm and high-resolution remote sensing images, a feature matching algorithm with fully affine invariability(ASIFT) was introduced to extract and match features on different phases of high-resolution remote sensing images. The Fushun West Open-Pit Mine was selected as a study area, and the displacement field was analyzed with the ASIFT algorithm. The results showed that compared with the SIFT algorithm, the deficiency of the feature extraction algorithm in affine invariance is compensated, the feature matching points increase and the accuracy of the displacement vector field of the landslide is improved by using ASIFT algorithm. The ASIFT algorithm is more suitable for monitoring the displacement field of large landslide with higher degree of automation and lower cost. © 2017, Editorial Department of Journal of Northeastern University. All right reserved.

引用

页码：1468 / 1472and1476

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