Yujia Chen
Orcid: 0000-0002-2510-6333Affiliations:
- China University of Geosciences, School of Land Science and Technology, Beijing, China
According to our database1,
Yujia Chen
authored at least 10 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
IEEE Trans. Geosci. Remote. Sens., 2023
Subpixel Mapping for Remote Sensing Imagery Based on Spatial Adaptive Attraction Model and Conditional Random Fields.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Bayesian Subpixel Mapping of Hyperspectral Imagery via Discrete Endmember Variability Mixture Model and Markov Random Field.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
2021
Monitoring and Assessment of Agricultural Drought Based on Solar-Induced Chlorophyll Fluorescence During Growing Season in North China Plain.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field.
IEEE Geosci. Remote. Sens. Lett., 2021
2019
A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Evaluation of Mine Exploitation Intensity Based on Topsis and BP Neural Network: a Case Study in Fujian Province, China.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2016
Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraint.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Super-resolution reconstruction of hyperspectral imagery using an spectral unmixing based representational model.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
A novel unsupervised classification approach for hyperspectral imagery based on spectral mixture model and MARKOV random field.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016