Landslide susceptibility prediction by gray wolf optimized support vector machine model under different factor states-Reference-Cited by-同舟云学术

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Landslide susceptibility prediction by gray wolf optimized support vector machine model under different factor states

Published:2023-11-08 Issue:04 Volume:17 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Duan GongHao¹,Hu Jie²,Deng LiXu³,Fu Jie⁴

Affiliation:

1. Wuhan Institute of Technology, School of Computer Science and Engineering, Wuhan, China

2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China

3. China Three Gorges University, Ministry of Education, Key Laboratory of Geological Hazards on Three Gorges Reservoir, Yichang, China

4. Hydrogeological and Environmental Geological Survey Center, China Geological Survey, Baoding, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference75 articles.

1. Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

2. Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation

3. A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece)

4. A review of statistically-based landslide susceptibility models

5. Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions

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1. Enhanced Landslide Susceptibility Mapping Using Machine Learning and InSAR Integration: A Case Study in Wushan County, Three Gorges Reservoir Area, China;2024-08-18

2. Landslide Susceptibility Assessment Method during the Construction of Highways Based on the Index Complexity Algorithm;Sustainability;2024-07-18

3. Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan;Remote Sensing;2024-03-12

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