Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data
The availability of high-resolution laser scanning data and advanced machine learning algorithms has enabled an accurate potential rockfall source identification. However, the presence of other mass movements, such as landslides within the same region of interest, poses additional challenges to this...
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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
The Korean Society of Remote Sensing
2019
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/82041/1/Rockfall%20source%20identification%20using%20a%20hybrid%20Gaussian%20mixture-ensemble%20machine%20learning%20model%20and%20LiDAR%20data.pdf http://psasir.upm.edu.my/id/eprint/82041/ https://www.koreascience.or.kr/article/JAKO201909242559364.page |
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