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ORCIDBin Zhao 0008
Person information
- affiliation (PhD 2021): University of Iceland, Faculty of Electrical and Computer Engineering, Reykjavik, Iceland
- affiliation: Shandong Agricultural University, School of Information Science and Engineering, Taian, China
Other persons with the same name
- Bin Zhao — disambiguation page
- Bin Zhao 0001
![[0000-0002-0294-8538]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0294-8538")
— Northwestern Polytechnical University, School of Artificial Intelligence, Optics and Electronics, iOPEN, Xi'an, Shaanxi, China (and 1 more) - Bin Zhao 0002 — Fairchild, USA (and 2 more)
- Bin Zhao 0003 — Purdue University, Video and Image Processing Laboratory (VIPER), IN, USA (and 1 more)
- Bin Zhao 0004 — Carnegie Mellon University, Pittsburgh, PA, USA (and 1 more)
- Bin Zhao 0005 — Beijing University of Technology, Beijing, China (and 1 more)
- Bin Zhao 0006 — Chinese Academy of Sciences, Institute of Optics and Electronics, Chengdu, China
- Bin Zhao 0007 — Guilin University of Electronic Technology, School of Artificial Intelligence, China (and 1 more)
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2020 – today
- 2024
[j10]Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang:
A Deep-Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data. Remote. Sens. 16(19): 3613 (2024)- [j9]Enhui Cheng, Fumin Wang, Dailiang Peng, Bing Zhang, Bin Zhao, Wenjuan Zhang, Jinkang Hu, Zihang Lou, Songlin Yang, Hongchi Zhang, Yulong Lv:
A GT-LSTM Spatio-Temporal Approach for Winter Wheat Yield Prediction: From the Field Scale to County Scale. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j8]Yuxi Wang, Bing Zhang, Wenjuan Zhang, Danfeng Hong, Bin Zhao, Zhen Li:
Cloud Removal With SAR-Optical Data Fusion Using a Unified Spatial-Spectral Residual Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j7]Wenjuan Zhang, Ruiqi Sun, Zhen Li, Lianru Gao, Jiaxin Li, Bin Zhao, Bing Zhang:
Non-Local Similarity-Based Attentive Graph Convolution Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - 2023
- [c10]Bin Zhao, Magnus O. Ulfarsson, Jakob Sigurdsson:
Hyperspectral Image Denoising Using Low-Rank and Sparse Model Based Deep Unrolling. IGARSS 2023: 5818-5821 - [c9]Bin Zhao, Zhao Yuan, Jakob Sigurdsson, Magnus O. Ulfarsson:
Spectral-Spatial Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification. IGARSS 2023: 7218-7221 - 2022
- [j6]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Bin Zhao, Haukur Isfeld Ragnarsson, Magnus O. Ulfarsson, Gabriele Cavallaro, Jón Atli Benediktsson:
Predicting Classification Performance for Benchmark Hyperspectral Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4180-4193 (2022) - [j4]Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot:
Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations. IEEE Trans. Geosci. Remote. Sens. 60: 1-25 (2022) - 2021
- [c8]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Wavelet-Based Block Low-Rank Representations for Hyperspectral Denoising. IGARSS 2021: 2484-2487 - [c7]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Non-Local Means Low-Rank Approximation for Hyperspectral Denoising. IGARSS 2021: 4147-4150 - 2020
- [j3]Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot:
Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers. Remote. Sens. 12(7): 1179 (2020) - [c6]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising. IGARSS 2020: 1488-1491 - [c5]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers. IGARSS 2020: 1516-1519
2010 – 2019
- 2019
- [c4]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification. IGARSS 2019: 887-890 - [c3]Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot:
Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification. IGARSS 2019: 891-894 - 2017
- [j2]Bin Zhao, Lianru Gao, Wenzhi Liao, Bing Zhang:
A new kernel method for hyperspectral image feature extraction. Geo spatial Inf. Sci. 20(4): 309-318 (2017) - [j1]Lianru Gao, Bin Zhao, Xiuping Jia, Wenzhi Liao, Bing Zhang:
Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification. Remote. Sens. 9(6): 548 (2017) - [c2]Wenzhi Liao, Frieke Van Coillie, Liwei Li, Bin Zhao, Lianru Gao, Wilfried Philips, Bing Zhang:
Fusion of multi-scale hyperspectral and lidar features for tree species mapping. IGARSS 2017: 2879-2882 - 2016
- [c1]Bin Zhao, Lianru Gao, Bing Zhang:
An optimized method of kernel minimum noise fraction for dimensionality reduction of hyperspectral imagery. IGARSS 2016: 48-51
Coauthor Index
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