A landslide extraction method of channel attention mechanism U-Net network based on Sentinel-2A remote sensing images

Detection and segmentation of loess landslides via satellite images: a two-phase framework

(2022) Huajin Li et al.   Landslides

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

(2022) Omid Ghorbanzadeh et al.   Big Earth Data

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

(2022) Zhangyu Dong et al.   Remote Sensing

DRs-UNet: A Deep Semantic Segmentation Network for the Recognition of Active Landslides from InSAR Imagery in the Three Rivers Region of the Qinghai–Tibet Plateau

(2022) Ximing Chen et al.   Remote Sensing

Attention mechanisms in computer vision: A survey

(2022) Meng-Hao Guo et al.   Computational Visual Media

A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area

(2022) Thanh Trinh et al.   Big Earth Data

Adaptive cooperative dynamic surface control of non-strict feedback multi-agent systems with input dead-zones and actuator failures

(2021) Tianping Zhang et al.   NEUROCOMPUTING

MSDU-Net: A Multi-Scale Dilated U-Net for Blur Detection

(2021) Xiao Xiao et al.   SENSORS

Detection of Specific Building in Remote Sensing Images Using a Novel YOLO-S-CIOU Model. Case: Gas Station Identification

(2021) Jinfeng Gao et al.   SENSORS

Convolutional neural networks applied to semantic segmentation of landslide scars

(2021) L. Bragagnolo et al.   CATENA

A small attentional YOLO model for landslide detection from satellite remote sensing images

(2021) Libo Cheng 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

Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network

(2020) Li Zhu et al.   SENSORS

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

(2020) Peng Liu et al.   Remote Sensing

Landslide identification using machine learning

(2020) Haojie Wang et al.   Geoscience Frontiers

Automatic Mapping of Landslides by the ResU-Net

(2020) Wenwen Qi et al.   Remote Sensing

Review on remote sensing methods for landslide detection using machine and deep learning

(2020) Amrita Mohan et al.   Transactions on Emerging Telecommunications Technologies

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

Landslide Inventory Mapping From Bitemporal Images Using Deep Convolutional Neural Networks

(2019) Tao Lei et al.   IEEE Geoscience and Remote Sensing Letters

Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network

(2019) Yaning Yi et al.   Remote Sensing

Computer vision-based concrete crack detection using U-net fully convolutional networks

(2019) Zhenqing Liu et al.   AUTOMATION IN CONSTRUCTION

A Novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

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

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images

(2018) Ren N. Keyport et al.   International Journal of Applied Earth Observation and Geoinformation

Postearthquake Landslides Mapping From Landsat-8 Data for the 2015 Nepal Earthquake Using a Pixel-Based Change Detection Method

(2017) Wei Zhao et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

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

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

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

Landslide inventory maps: New tools for an old problem

(2012) Fausto Guzzetti et al.   EARTH-SCIENCE REVIEWS

Using MODIS NDVI Time Series to Identify Geographic Patterns of Landslides in Vegetated Regions

(2012) Wentao Yang et al.   IEEE Geoscience and Remote Sensing Letters

Object-oriented analysis of multi-temporal panchromatic images for creation of historical landslide inventories

(2011) Tapas R. Martha et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING