Yuan Fang
Orcid: 0000-0001-5740-9526Affiliations:
- China University of Geosciences, School of Land Science and Technology, Beijing, China
According to our database1,
Yuan Fang
authored at least 17 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
A Spatial-Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis.
Remote. Sens., August, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023
Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Extending a Linear Kernel-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy Over Rugged Terrain.
IEEE Trans. Geosci. Remote. Sens., 2022
BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022
A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A Spatial-Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images.
Remote. Sens., 2022
Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models.
Remote. Sens., 2022
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
Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019
2018
Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
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