Interpretation method for regional co-seismic collapses based on multi-feature fusion of optical remote sensing

Zheng HAN; Zhenxiong FANG; Bangjie FU; Binhui WU; Yange LI; Changli LI; Guangqi CHEN

doi:10.16031/j.cnki.issn.1003-8035.202111008

Volume 33 Issue 6

Dec. 2022

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The Chinese Journal of Geological Hazard and Control > 2022 > 33(6): 103-113. > DOI: 10.16031/j.cnki.issn.1003-8035.202111008

HAN Zheng, FANG Zhenxiong, FU Bangjie, et al. Interpretation method for regional co-seismic collapses based on multi-feature fusion of optical remote sensing[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(6): 103-113. DOI: 10.16031/j.cnki.issn.1003-8035.202111008

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Interpretation method for regional co-seismic collapses based on multi-feature fusion of optical remote sensing

1.
School of Civil Engineering, Central South University, Changsha, Hunan　410075, China
2.
Key Laboratory of Hunan Province for Structural Disaster Prevention and Mitigation of Rail Transit Engineering, Changsha, Hunan　410075, China
3.
Key Laboratory of Heavy-duty Railway Engineering Structure, Ministry of Education, Changsha, Hunan　410075, China
4.
Kyushu University School of Engineering, Fukuoka　819-0372, Japan

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Received Date: November 02, 2021
Revised Date: January 27, 2022
Available Online: September 12, 2022

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Abstract

Abstract

Interpretation of co-seismic collapse landslides is a key problem that needs to be solved in the post-disaster recovery work in earthquake areas. The issue regarding continuously improvement of interpretation accuracy for rapid and automatic interpretation of disasters is currently a hot topic, which is also a prerequisite to promote the development of early recognition of geological disasters towards intelligence and scientific. Based on the local threshold binarization method of remote sensing image proposed by the team in the early stage, this paper analyzes the optical and geometric characteristics of false positive features and proposes a fusion for the high false positive rate of the interpreted results of co-seismic mountain collapse. The multi-feature fusion interpretation method of the co-seismic mountain collapse with the gray feature of the optical image of the target area, the regional slope information, the NDVI feature and the interpretation of the main axis feature of the ground feature. In order to verify the accuracy of the proposed model, based on the 2014 Ludian earthquake in Yunnan, a case study was carried out in the Longtoushan town area. The Gaofen-1 (GF-1) satellite image data obtained after the earthquake and the digital elevation model were used for the earthquake in this area. The interpretation and recognition of the collapse of the cracked mountain shows that the method proposed in this paper accurately interprets the collapsed area of the cracked mountain body, effectively removes the false positive ground object interference, and improves the accuracy of interpretation.
- remote sensing image interpretation,
- co-seismic collapse,
- binary segmentation,
- multi-feature strategy,
- Monte-Carlo iteration

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Interpretation method for regional co-seismic collapses based on multi-feature fusion of optical remote sensing

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