L-Unet: A Landslide Extraction Model Using Multi-Scale Feature Fusion and Attention Mechanism

Landslide detection using deep learning and object-based image analysis

(2022) Omid Ghorbanzadeh et al.   Landslides

A Research on Landslides Automatic Extraction Model Based on the Improved Mask R-CNN

(2021) Peng Liu et al.   ISPRS International Journal of Geo-Information

A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)

(2021) Omid Ghorbanzadeh et al.   Scientific Reports

Application of Bayesian Hyperparameter Optimized Random Forest and XGBoost Model for Landslide Susceptibility Mapping

(2021) Shibao Wang et al.   Frontiers in Earth Science

MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

(2021) Rui Li et al.   IEEE Geoscience and Remote Sensing Letters

Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images

(2021) Ruigang Niu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks

(2020) Shunping Ji et al.   Landslides

Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer Learning

(2020) Heng Lu et al.   Remote Sensing

PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

(2020) Md. Palash Uddin et al.   IETE TECHNICAL REVIEW

Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model

(2020) Peng Liu et al.   Remote Sensing

Automatic Extraction of Seismic Landslides in Large Areas with Complex Environments Based on Deep Learning: An Example of the 2018 Iburi Earthquake, Japan

(2020) Pengfei Zhang et al.   Remote Sensing

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Remote Sensing Landslide Recognition Based on Convolutional Neural Network

(2019) Yu Wang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

(2018) Dieu Tien Bui et al.   Remote Sensing

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms

(2015) Xianju Li et al.   Remote Sensing

Object-Based Image Analysis and Digital Terrain Analysis for Locating Landslides in the Urmia Lake Basin, Iran

(2014) Thomas Blaschke et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing