Long Chen
Orcid: 0000-0001-8219-3966Affiliations:
- Beijing Forestry University, Beijing, China
According to our database1,
Long Chen authored at least 10 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
A Deep Cross-Domain Tree Species Classification Framework via Local Maximum Mean Discrepancy and Few-Shot Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2026
2025
FCDNet: A Multiscale Attention Network for Forest Change Detection Using Dual-Temporal Very-High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2025
2024
A novel framework combining band selection algorithm and improved 3D prototypical network for tree species classification using airborne hyperspectral images.
Comput. Electron. Agric., 2024
A novel BH3DNet method for identifying pine wilt disease in Masson pine fusing UAS hyperspectral imagery and LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Integrating extraction framework and methods of individual tree parameters based on close-range photogrammetry.
Comput. Electron. Agric., December, 2023
Intelligent Identification of Pine Wilt Disease Infected Individual Trees Using UAV-Based Hyperspectral Imagery.
Remote. Sens., July, 2023
2022
Data Augmentation in Prototypical Networks for Forest Tree Species Classification Using Airborne Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2022
2021
A New CBAM-P-Net Model for Few-Shot Forest Species Classification Using Airborne Hyperspectral Images.
Remote. Sens., 2021
Classifying tree species in the plantations of southern China based on wavelet analysis and mathematical morphology.
Comput. Geosci., 2021
2020
Improved Prototypical Network Model for Forest Species Classification in Complex Stand.
Remote. Sens., 2020