Journal of Northeastern University Natural Science ›› 2017, Vol. 38 ›› Issue (10): 1468-1473.DOI: 10.12068/j.issn.1005-3026.2017.10.020

• Resources & Civil Engineering • Previous Articles     Next Articles

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

ZHANG Hui-hui 1,2, LIU Shan-jun 1, WANG Ru1   

  1. 1. School of Resources & Civil Engineering, Northeastern University, Shenyang 110819, China; 2. Surveying and Mapping Department, Liaoning Provincial College of Communications, Shenyang 110122, China.
  • Received:2016-09-30 Revised:2016-09-30 Online:2017-10-15 Published:2017-10-13
  • Contact: LIU Shan-jun
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Abstract: 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.

Key words: high-resolution image, ASIFT, landslide, displacement field, monitoring

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