Bin Zhao

Orcid: 0000-0002-2544-5263

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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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

Hyperspectral Image Denoising Using Low-Rank and Sparse Model Based Deep Unrolling.
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

Predicting Classification Performance for Benchmark Hyperspectral Datasets.
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
Non-Local Means Low-Rank Approximation for Hyperspectral Denoising.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Wavelet-Based Block Low-Rank Representations for Hyperspectral Denoising.
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

Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers.
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

A new kernel method for hyperspectral image feature extraction.
Geo spatial Inf. Sci., 2017

Fusion of multi-scale hyperspectral and lidar features for tree species mapping.
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


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