Landslide susceptibility prediction based on image semantic segmentation
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Landslide susceptibility prediction based on image semantic segmentation
Authors
Keywords
Landslide susceptibility prediction, Deep learning, Computer vision, Remote sensing, Semantic segmentation
Journal
COMPUTERS & GEOSCIENCES
Volume 155, Issue -, Pages 104860
Publisher
Elsevier BV
Online
2021-06-16
DOI
10.1016/j.cageo.2021.104860
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks
- (2020) Shunping Ji et al. Landslides
- Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
- (2020) Zhilu Chang et al. Remote Sensing
- Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models
- (2020) Faming Huang et al. ISPRS International Journal of Geo-Information
- Evaluation of Floods and Landslides Triggered by a Meteorological Catastrophe (Ordu, Turkey, August 2018) Using Optical and Radar Data
- (2020) Sultan Kocaman et al. GEOFLUIDS
- A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
- (2019) Faming Huang et al. Landslides
- Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models
- (2019) Deying Li et al. Applied Sciences-Basel
- Landslide detection based on contour-based deep learning framework in case of national scale of Nepal in 2015
- (2019) Bo Yu et al. COMPUTERS & GEOSCIENCES
- Prediction of the landslide susceptibility: Which algorithm, which precision?
- (2018) Hamid Reza Pourghasemi et al. CATENA
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine
- (2018) Faming Huang et al. Geomatics Natural Hazards & Risk
- Landslide susceptibility assessment by TRIGRS in a frequently affected shallow instability area
- (2018) Mariantonietta Ciurleo et al. Landslides
- Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
- (2017) Wei Chen et al. GEOMORPHOLOGY
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data
- (2017) Mustafa Ridha Mezaal et al. Applied Sciences-Basel
- Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models
- (2016) Haoyuan Hong et al. GEOMORPHOLOGY
- Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio
- (2015) Pece V. Gorsevski et al. Landslides
- Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
- (2015) Ahmed Mohamed Youssef et al. Landslides
- Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV)
- (2015) Darren Turner et al. Remote Sensing
- A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping
- (2014) Omar F. Althuwaynee et al. Landslides
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
- (2013) Taskin Kavzoglu et al. Landslides
- Application of kernel-based Fisher discriminant analysis to map landslide susceptibility in the Qinggan River delta, Three Gorges, China
- (2012) Sanwei He et al. GEOMORPHOLOGY
- Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia
- (2010) Biswajeet Pradhan ADVANCES IN SPACE RESEARCH
- Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
- (2010) H. A. Nefeslioglu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
- (2008) H.A. Nefeslioglu et al. ENGINEERING GEOLOGY
- Artificial neural networks and cluster analysis in landslide susceptibility zonation
- (2007) C. Melchiorre et al. GEOMORPHOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now