Calibrating Landslide Displacement Field by Using High-resolution Image and Feature Matching Algorithm

doi:10.13474/j.cnki.11-2246.2017.0251

Abstract

Abstract: Landslide hazard is one of the most destructive natural disasters in the world. Landslide monitoring is an important foundation for preventing landslide hazard. In view of the problem that feature points extracted by SIFT which is applied to landslide remote sensing monitoring is few and uneven distribution, a new improved method of calibrating landslide displacement field which uses ASIFT to process panchromatic images and CSIFT to process multi-spectral fusion images is proposed. This method can combine the different feature points extracted from ASIFT and CSIFT to get more feature matching points. The results show that compared with the SIFT algorithm, this method greatly increases the number of feature points and improves the calibration precision of the landslide displacement field. It has the advantages of low cost and high efficiency, and is very suitable for large scale large deformation field monitoring in later stage of landslide.

Key words: high-resolution image, ASIFT algorithm, CSIFT algorithm, landslide displacement field, calibration

CLC Number:

ZHANG Huihui, WANG Ru. Calibrating Landslide Displacement Field by Using High-resolution Image and Feature Matching Algorithm[J]. 测绘通报, 2017, 0(8): 41-44.

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