Correction: Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping

被引:0
|
作者
Tingyu Zhang
Yanan Li
Tao Wang
Huanyuan Wang
Tianqing Chen
Zenghui Sun
Dan Luo
Chao Li
Ling Han
机构
[1] The Ministry of Natural Resources,Key Laboratory of Degraded and Unused Land Consolidation Engineering
[2] Shaanxi Provincial Land Engineering Construction Group Co.,Institute of Land Engineering and Technology
[3] Ltd,Shaanxi Key Laboratory of Land Consolidation, School of Land Engineering
[4] Shaanxi Provincial Land Engineering Construction Group Land Survey Planning and Design Institute Co.,undefined
[5] Ltd,undefined
[6] Chang’an University,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping
    Zhang, Tingyu
    Li, Yanan
    Wang, Tao
    Wang, Huanyuan
    Chen, Tianqing
    Sun, Zenghui
    Luo, Dan
    Li, Chao
    Han, Ling
    [J]. GEOSCIENCE LETTERS, 2022, 9 (01)
  • [2] Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping
    Tingyu Zhang
    Yanan Li
    Tao Wang
    Huanyuan Wang
    Tianqing Chen
    Zenghui Sun
    Dan Luo
    Chao Li
    Ling Han
    [J]. Geoscience Letters, 9
  • [3] Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping (vol 9, 26, 2022)
    Zhang, Tingyu
    Li, Yanan
    Wang, Tao
    Wang, Huanyuan
    Chen, Tianqing
    Sun, Zenghui
    Luo, Dan
    Li, Chao
    Han, Ling
    [J]. GEOSCIENCE LETTERS, 2023, 10 (01)
  • [4] Deep learning-based landslide susceptibility mapping
    Mohammad Azarafza
    Mehdi Azarafza
    Haluk Akgün
    Peter M. Atkinson
    Reza Derakhshani
    [J]. Scientific Reports, 11
  • [5] Deep learning-based landslide susceptibility mapping
    Azarafza, Mohammad
    Azarafza, Mehdi
    Akgun, Haluk
    Atkinson, Peter M.
    Derakhshani, Reza
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [6] COMPARISON OF DIFFERENT MACHINE LEARNING MODELS FOR LANDSLIDE SUSCEPTIBILITY MAPPING
    Yi, Yaning
    Zhang, Zhijie
    Zhang, Wanchang
    Xu, Chi
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 9318 - 9321
  • [7] Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data
    Hussain, Muhammad Afaq
    Chen, Zhanlong
    Zheng, Ying
    Zhou, Yulong
    Daud, Hamza
    [J]. REMOTE SENSING, 2023, 15 (19)
  • [8] Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping
    Adnan, Mohammed Sarfaraz Gani
    Rahman, Md Salman
    Ahmed, Nahian
    Ahmed, Bayes
    Rabbi, Md. Fazleh
    Rahman, Rashedur M.
    [J]. REMOTE SENSING, 2020, 12 (20) : 1 - 23
  • [9] A comprehensive review of machine learning-based methods in landslide susceptibility mapping
    Liu, Songlin
    Wang, Luqi
    Zhang, Wengang
    He, Yuwei
    Pijush, Samui
    [J]. GEOLOGICAL JOURNAL, 2023, 58 (06) : 2283 - 2301
  • [10] Landslide Susceptibility Mapping using Machine Learning Algorithm
    Hussain, Muhammad Afaq
    Chen, Zhanlong
    Wang, Run
    Shah, Safeer Ullah
    Shoaib, Muhammad
    Ali, Nafees
    Xu, Daozhu
    Ma, Chao
    [J]. CIVIL ENGINEERING JOURNAL-TEHRAN, 2022, 8 (02): : 209 - 224