Automatic Identification of Landslides Based on Deep Learning

Extraction of Landslide Information Based on Object-Oriented Approach and Cause Analysis in Shuicheng, China

(2022) Yunfei Han et al.   Remote Sensing

The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images

(2022) Omid Ghorbanzadeh et al.   Big Earth Data

Loess Landslide Detection Using Object Detection Algorithms in Northwest China

(2022) Yuanzhen Ju et al.   Remote Sensing

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

Landslide detection using visualization techniques for deep convolutional neural network models

(2021) Kemal Hacıefendioğlu et al.   NATURAL HAZARDS

A Novel Method for Extracting Time Series Information of Deformation Area of a Single Landslide Based on Improved U-Net Neural Network

(2021) Bibo Dai et al.   Frontiers in Earth Science

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

(2020) Shunping Ji et al.   Landslides

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

(2020) Nikhil Prakash et al.   Remote Sensing

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

(2020) Peng Liu 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

Landslide Detection of Hyperspectral Remote Sensing Data Based on Deep Learning With Constrains

(2019) Chengming Ye et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution

(2017) A. Rosi et al.   Landslides

Object-Oriented Landslide Mapping Using ZY-3 Satellite Imagery, Random Forest and Mathematical Morphology, for the Three-Gorges Reservoir, China

(2017) Tao Chen et al.   Remote Sensing

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method

(2016) Zhongbin Li et al.   REMOTE SENSING OF ENVIRONMENT

Landslide mapping from aerial photographs using change detection-based Markov random field

(2016) Zhongbin Li et al.   REMOTE SENSING OF ENVIRONMENT

Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data

(2016) Simon Plank et al.   Remote Sensing

Object-Based Image Classification of Summer Crops with Machine Learning Methods

(2014) José Peña et al.   Remote Sensing