[1]WANG Xiaobo,LU Heng,LIU Xuemei,et al.Rapid Detection of Seismic Landslide Information Based on SHALSTAB Model and Object-oriented Remote Sensing Image[J].Journal of Seismological Research,2019,42(02):273-279.
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Rapid Detection of Seismic Landslide Information Based on SHALSTAB Model and Object-oriented Remote Sensing Image

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: 42 Number of periods: 2019 02 Page number: 273-279 Column: Public date: 2019-07-17
Title:
Rapid Detection of Seismic Landslide Information Based on SHALSTAB Model and Object-oriented Remote Sensing Image
Author(s):
WANG Xiaobo1; 2; LU Heng2; 3; 4; LIU Xuemei5; YANG Zhengli3; 4; XIANG Xia3; 4; CAI Shixiang3; 4
(1. Provincial Geomatics Center of Qinghai,Xining 810001,Qinghai,China)(2. Geomatics Technology and Application Key Laboratory of Qinghai Province,Xining 810001,Qinghai,China)(3. State Key Laboratory of Hydraulics and Mountain River Engineering,Sichuan University,Chengdu 610065,Sichuan,China)(4. College of Hydraulic and Hydroelectric Engineering,Sichuan University,Chengdu 610065,Sichuan,China)(5. Sichuan Earthquake Agency,Chengdu 610041,Sichuan,China)
Keywords:
slope stability model;  object oriented;  high-resolution remote sensing image;  landslide;  rapid detection
CLC:
P315.942,P231.5
DOI:
-
Abstract:
Landslide is one of the most common geological disasters caused by earthquakes. How to quickly and effectively monitor landslide has always been a research hotspot. Based on this,we proposed a seismic landslide information fast detection method based on high resolution remote sensing image. This method is combining SHALSTAB(Shallow Land sliding Stability)model with object-oriented image analysis. Firstly,the multi-scale segmentation of remote sensing images is carried out,and the weights are assigned according to the SHALSTAB model. Then the landslide objects are detected according to the deep learning mechanism. Finally,the detection results are filtered,and the method is applied to the landslide detection of Lushan M7.0 earthquake in 2013 and compare with the visual interpretation results. The results show that the proposed method can detect landslide in high-resolution remote sensing image rapidly,and the detection accuracy of landslide is over 85%.
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