Research graph
References from ConFormer-Net: Spatiotemporal Modeling for Landslide Detection Using Multi-Temporal SAR Data. Local targets link to admitted publications; unresolved targets remain external evidence.
Assessing landslide hazards
10.1126/science.1143308 · 2007 · External reference
10.1007/978-3-540-69970-5_31
10.1007/978-3-540-69970-5_31 · External reference
Landslides in a changing world
10.1007/s10346-024-02451-1 · 2025 · External reference
The effect of location and geometric properties of landslides caused by rainstorms and earthquakes
10.1002/esp.5816 · 2024 · External reference
Study of the spatial distribution and the temporal trend of landslide disasters that occurred in the Nepal Himalayas from 2011 to 2020
10.1007/s12665-023-11347-7 · 2024 · External reference
Contour Connection Method for automated identification and classification of landslide deposits
10.1016/j.cageo.2014.10.007 · 2015 · External reference
Coupling of GPS/GNSS and radar interferometric data for a 3D surface displacement monitoring of landslides
10.1007/s10346-014-0482-0 · 2015 · External reference
Visual interpretation of stereoscopic NDVI satellite images to map rainfall-induced landslides
10.1007/s10346-018-1069-y · 2019 · External reference
Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
10.1016/j.earscirev.2021.103574 · 2021 · External reference
Identification and monitoring landslides in Longitudinal Range-Gorge Region with InSAR fusion integrated visibility analysis
10.1007/s10346-020-01475-7 · 2021 · External reference
Synthetic aperture radar for geosciences
10.1029/2023rg000821 · 2024 · External reference
A new algorithm for landslide dynamic monitoring with high temporal resolution by Kalman filter integration of multiplatform time-series InSAR processing
2022 · External reference
Slope deformation prior to Zhouqu, China landslide from InSAR time series analysis
10.1016/j.rse.2014.09.029 · 2015 · External reference
Unveiling the long-term cascading effects of the 2018 Baige landslide and subsequent outburst flood with satellite radar observations
10.1016/j.rse.2026.115231 · 2026 · External reference
Investigating slow-moving shallow soil landslides using Sentinel-1 InSAR data in Gisborne, New Zealand
10.1007/s10346-022-01982-9 · 2023 · External reference
Slope deformation monitoring and prediction based on InSAR and deep learning model
10.1016/j.rineng.2025.107113 · 2025 · External reference
Sentinel-1 SAR-based globally distributed co-seismic landslide detection by deep neural networks
2025 · External reference
Landslide recognition by deep convolutional neural network and change detection
10.1109/tgrs.2020.3015826 · 2020 · External reference
An interpretable attention-based deep learning method for landslide prediction based on multi-temporal InSAR time series: A case study of Xinpu landslide in the TGRA
10.1016/j.rse.2024.114580 · 2025 · External reference
10.3390/app14156459
10.3390/app14156459 · External reference
Automatic identification of active landslides over wide areas from time-series InSAR measurements using Faster RCNN
2023 · External reference
Research on automatic recognition of active landslides using InSAR deformation under digital morphology: A case study of the Baihetan reservoir, China
10.1016/j.rse.2024.114029 · 2024 · External reference
Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions
10.1186/s40537-021-00444-8 · 2021 · External reference
An early prediction model of regional landslide disasters in Fujian Province based on convolutional neural network
2024 · External reference
10.3390/rs18081181
10.3390/rs18081181 · External reference
A new deep-learning-based approach for earthquake-triggered landslide detection from single-temporal RapidEye satellite imagery
10.1109/jstars.2020.3028855 · 2020 · External reference
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)
10.1038/s41598-021-94190-9 · 2021 · External reference
Landslide detection using densely connected convolutional networks and environmental conditions
10.1109/jstars.2021.3079196 · 2021 · External reference
Landslide detection mapping employing CNN, ResNet, and DenseNet in the three gorges reservoir, China
10.1109/jstars.2021.3117975 · 2021 · External reference
10.1007/978-3-031-16178-0_21
10.1007/978-3-031-16178-0_21 · External reference
Hybrid prediction for reservoir landslide deformation based on multi-source InSAR and deep learning
10.1007/s10064-025-04345-5 · 2025 · External reference
Prediction of InSAR deformation time-series using a long short-term memory neural network
10.1080/01431161.2021.1947540 · 2021 · External reference
10.3390/rs18050811
10.3390/rs18050811 · External reference
LiteTransNet: An interpretable approach for landslide displacement prediction using transformer model with attention mechanism
10.1016/j.enggeo.2024.107446 · 2024 · External reference
10.1117/12.2631151
10.1117/12.2631151 · External reference
A Hybrid Fusion Network using Convolutional Vision Transformers for Landslide Identification
10.1016/j.eswa.2025.129688 · 2025 · External reference
Multi-modal cross Swin transformer network for multi-label classification landslide detection with optical and SAR images of Luding
2025 · External reference
10.3390/rs13030516
10.3390/rs13030516 · External reference
Position information in transformers: An overview
10.1162/coli_a_00445 · 2022 · External reference
Transformer and CNN hybrid deep neural network for semantic segmentation of very-high-resolution remote sensing imagery
2022 · External reference
When CNNs meet vision transformer: A joint framework for remote sensing scene classification
2021 · External reference
10.1109/igarss46834.2022.9884596
10.1109/igarss46834.2022.9884596 · External reference
A Spatio-Temporal Dataset for Satellite-Based Landslide Detection
10.1038/s41597-025-06167-2 · 2025 · External reference
A novel ResNet101 model based on dense dilated convolution for image classification
10.1007/s42452-021-04897-7 · 2022 · External reference
10.1007/s10618-023-00948-2
10.1007/s10618-023-00948-2 · External reference
Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery
10.1016/j.patcog.2022.108786 · 2022 · External reference
10.3390/rs17193313
10.3390/rs17193313 · External reference
A framework for automated landslide dating utilizing SAR-derived parameters time-series, an enhanced transformer model, and dynamic thresholding
2024 · External reference
The effect of location and geometric properties of landslides caused by rainstorms and earthquakes
10.1002/esp.5816 · ExternalCitation · doi-reference
10.1007/978-3-031-16178-0_21
10.1007/978-3-031-16178-0_21 · ExternalCitation · doi-reference
10.1007/978-3-540-69970-5_31
10.1007/978-3-540-69970-5_31 · ExternalCitation · doi-reference
Hybrid prediction for reservoir landslide deformation based on multi-source InSAR and deep learning
10.1007/s10064-025-04345-5 · ExternalCitation · doi-reference
Coupling of GPS/GNSS and radar interferometric data for a 3D surface displacement monitoring of landslides
10.1007/s10346-014-0482-0 · ExternalCitation · doi-reference
Visual interpretation of stereoscopic NDVI satellite images to map rainfall-induced landslides
10.1007/s10346-018-1069-y · ExternalCitation · doi-reference
Identification and monitoring landslides in Longitudinal Range-Gorge Region with InSAR fusion integrated visibility analysis
10.1007/s10346-020-01475-7 · ExternalCitation · doi-reference
Investigating slow-moving shallow soil landslides using Sentinel-1 InSAR data in Gisborne, New Zealand
10.1007/s10346-022-01982-9 · ExternalCitation · doi-reference
Landslides in a changing world
10.1007/s10346-024-02451-1 · ExternalCitation · doi-reference
10.1007/s10618-023-00948-2
10.1007/s10618-023-00948-2 · ExternalCitation · doi-reference
Study of the spatial distribution and the temporal trend of landslide disasters that occurred in the Nepal Himalayas from 2011 to 2020
10.1007/s12665-023-11347-7 · ExternalCitation · doi-reference
A novel ResNet101 model based on dense dilated convolution for image classification
10.1007/s42452-021-04897-7 · ExternalCitation · doi-reference
Contour Connection Method for automated identification and classification of landslide deposits
10.1016/j.cageo.2014.10.007 · ExternalCitation · doi-reference
Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
10.1016/j.earscirev.2021.103574 · ExternalCitation · doi-reference
LiteTransNet: An interpretable approach for landslide displacement prediction using transformer model with attention mechanism
10.1016/j.enggeo.2024.107446 · ExternalCitation · doi-reference
A Hybrid Fusion Network using Convolutional Vision Transformers for Landslide Identification
10.1016/j.eswa.2025.129688 · ExternalCitation · doi-reference
Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery
10.1016/j.patcog.2022.108786 · ExternalCitation · doi-reference
Slope deformation monitoring and prediction based on InSAR and deep learning model
10.1016/j.rineng.2025.107113 · ExternalCitation · doi-reference
Slope deformation prior to Zhouqu, China landslide from InSAR time series analysis
10.1016/j.rse.2014.09.029 · ExternalCitation · doi-reference
Research on automatic recognition of active landslides using InSAR deformation under digital morphology: A case study of the Baihetan reservoir, China
10.1016/j.rse.2024.114029 · ExternalCitation · doi-reference
An interpretable attention-based deep learning method for landslide prediction based on multi-temporal InSAR time series: A case study of Xinpu landslide in the TGRA
10.1016/j.rse.2024.114580 · ExternalCitation · doi-reference
Unveiling the long-term cascading effects of the 2018 Baige landslide and subsequent outburst flood with satellite radar observations
10.1016/j.rse.2026.115231 · ExternalCitation · doi-reference
Synthetic aperture radar for geosciences
10.1029/2023rg000821 · ExternalCitation · doi-reference
A Spatio-Temporal Dataset for Satellite-Based Landslide Detection
10.1038/s41597-025-06167-2 · ExternalCitation · doi-reference
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)
10.1038/s41598-021-94190-9 · ExternalCitation · doi-reference
Prediction of InSAR deformation time-series using a long short-term memory neural network
10.1080/01431161.2021.1947540 · ExternalCitation · doi-reference
10.1109/igarss46834.2022.9884596
10.1109/igarss46834.2022.9884596 · ExternalCitation · doi-reference
A new deep-learning-based approach for earthquake-triggered landslide detection from single-temporal RapidEye satellite imagery
10.1109/jstars.2020.3028855 · ExternalCitation · doi-reference
Landslide detection using densely connected convolutional networks and environmental conditions
10.1109/jstars.2021.3079196 · ExternalCitation · doi-reference
Landslide detection mapping employing CNN, ResNet, and DenseNet in the three gorges reservoir, China
10.1109/jstars.2021.3117975 · ExternalCitation · doi-reference
Landslide recognition by deep convolutional neural network and change detection
10.1109/tgrs.2020.3015826 · ExternalCitation · doi-reference
10.1117/12.2631151
10.1117/12.2631151 · ExternalCitation · doi-reference
Assessing landslide hazards
10.1126/science.1143308 · ExternalCitation · doi-reference
Position information in transformers: An overview
10.1162/coli_a_00445 · ExternalCitation · doi-reference
Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions
10.1186/s40537-021-00444-8 · ExternalCitation · doi-reference
10.3390/app14156459
10.3390/app14156459 · ExternalCitation · doi-reference
10.3390/rs13030516
10.3390/rs13030516 · ExternalCitation · doi-reference
10.3390/rs17193313
10.3390/rs17193313 · ExternalCitation · doi-reference
10.3390/rs18050811
10.3390/rs18050811 · ExternalCitation · doi-reference
10.3390/rs18081181
10.3390/rs18081181 · ExternalCitation · doi-reference
