Junchuan Yu
Orcid: 0000-0003-2987-0504
According to our database1,
Junchuan Yu
authored at least 14 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Active Deformation Areas of Potential Landslide Mapping with a Generalized Convolutional Neural Network.
Remote. Sens., March, 2024
Remote Sensing Extraction of Lakes on the Tibetan Plateau Based on the Google Earth Engine and Deep Learning.
Remote. Sens., February, 2024
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model.
CoRR, 2024
2023
An Attention-Based 3D Convolutional Autoencoder for Few-Shot Hyperspectral Unmixing and Classification.
Remote. Sens., January, 2023
An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Feature-Fusion Segmentation Network for Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
A Hyper-pixel-wise Contrastive Learning Augmented Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data.
CoRR, 2023
An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images.
CoRR, 2023
2022
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images.
CoRR, 2022
2021
Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data.
ISPRS Int. J. Geo Inf., 2021
2020
Remote. Sens., 2020
2019
Estimating the Distribution of Heavy Metals in Soil from Airborne Hyperspectral Imagery Over Jilin Gongzhuling Gold Mining Area of China.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019