基于边缘提取算法的岩层三角面产状半自动提取

林楠; 徐遥辰; 高博文; 翁旭华; 陈宁华

doi:10.3799/dqkx.2021.060

Volume 46 Issue 10

Nov. 2021

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Lin Nan, Xu Yaochen, Gao Bowen, Weng Xuhua, Chen Ninghua, 2021. Semi-Automatic Extraction of Triangular Facet Attitude Based on Edge Extraction Algorithm. Earth Science, 46(10): 3753-3763. doi: 10.3799/dqkx.2021.060

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Lin Nan, Xu Yaochen, Gao Bowen, Weng Xuhua, Chen Ninghua, 2021. Semi-Automatic Extraction of Triangular Facet Attitude Based on Edge Extraction Algorithm. Earth Science, 46(10): 3753-3763. doi: 10.3799/dqkx.2021.060

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Semi-Automatic Extraction of Triangular Facet Attitude Based on Edge Extraction Algorithm

doi: 10.3799/dqkx.2021.060

School of Earth Sciences, Zhejiang University, Hangzhou 310027, China

Received Date: 2021-03-30
Available Online: 2021-11-03
Publish Date: 2021-11-03

Abstract

Abstract

Accurate identification and rapid detection of triangular facet is an effective way to use remote sensing technology to obtain stratum attitude information. In this paper, it proposes a method for semi-automatic detection of triangular facet and rapid extraction of bedding attitude. Using high-resolution satellite remote sensing stero image pairs, the method is based on Canny edge detection algorithm with an automatic iterative adjustment of Gaussian distribution model variance. Taking Tugerming anticline in the South Tianshan Mountains as the experimental area, a digital elevation model and digital orthophoto maps with the resolution of 0.5 m were constructed using Worldview-2 stereo pairs, and 81 triangular facets in the experimental area were extracted. The result shows that the method proposed in this paper is objective and efficient, and the extraction accuracy rate reaches 90.2%. The extracted attitude accurately reflect the changes in structure, providing a basis for surface modeling and structural analysis of complex structural belts.
- attitude extraction,
- high-resolution remote sensing image,
- stereo image pair,
- edge extraction algorithm,
- remote sensing

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References(36)

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