Bin Zhao
Orcid: 0000-0002-2544-5263Affiliations:
- University of Iceland, Faculty of Electrical and Computer Engineering, Reykjavik, Iceland (PhD 2021)
- Shandong Agricultural University, School of Information Science and Engineering, Taian, China
According to our database1,
Bin Zhao
authored at least 20 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
A Deep-Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data.
Remote. Sens., October, 2024
Non-Local Similarity-Based Attentive Graph Convolution Network for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024
Cloud Removal With SAR-Optical Data Fusion Using a Unified Spatial-Spectral Residual Network.
IEEE Trans. Geosci. Remote. Sens., 2024
A GT-LSTM Spatio-Temporal Approach for Winter Wheat Yield Prediction: From the Field Scale to County Scale.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Spectral-Spatial Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers.
Remote. Sens., 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2017
Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification.
Remote. Sens., 2017
Geo spatial Inf. Sci., 2017
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
An optimized method of kernel minimum noise fraction for dimensionality reduction of hyperspectral imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016