Junfang Yang

Orcid: 0000-0002-4582-1852

According to our database1, Junfang Yang authored at least 11 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Combined Retrieval of Oil Film Thickness Using Hyperspectral and Thermal Infrared Remote Sensing.
Remote. Sens., November, 2023

Hyperspectral Marine Oil Spill Monitoring Using a Dual-Branch Spatial-Spectral Fusion Model.
Remote. Sens., September, 2023

Quantitative Inversion Ability Analysis of Oil Film Thickness Using Bright Temperature Difference Based on Thermal Infrared Remote Sensing: A Ground-Based Simulation Experiment of Marine Oil Spill.
Remote. Sens., April, 2023

A Multilevel Spatial and Spectral Feature Extraction Network for Marine Oil Spill Monitoring Using Airborne Hyperspectral Image.
Remote. Sens., March, 2023

Quantitative Inversion of Oil Film Thickness Based on Airborne Hyperspectral Data Using the 1DCNN_GRU Model.
IEEE Trans. Geosci. Remote. Sens., 2023

Oil Spills and Emulsions Identification Using Random Forest Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Thermal Infrared Detection of Oil Film Thickness at Sea: Airborne and Portable Thermal Imagers are Used in One Experiment.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Decision Fusion of Deep Learning and Shallow Learning for Marine Oil Spill Detection.
Remote. Sens., 2022

Research on Oil Spill Pollution Type Identification Using Rpnet Deep Learning Model and Airborne Hyperspectral Image.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2019
Research on Object-Oriented Decision Fusion for Oil Spill Detection on Sea Surface.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2016
Coastal wetland classification based on high resolution SAR and optical image fusion.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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