Bin Zhao

20 papers C 10Journal 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Deep-Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data.
Remote. Sens.
Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang
2024 J jnl
A GT-LSTM Spatio-Temporal Approach for Winter Wheat Yield Prediction: From the Field Scale to County Scale.
IEEE Trans. Geosci. Remote. Sens.
Enhui Cheng, Fumin Wang, Dailiang Peng, Bing Zhang, Bin Zhao, Wenjuan Zhang, Jinkang Hu, Zihang Lou, Songlin Yang, Hongchi Zhang, Yulong Lv
2024 J jnl
Cloud Removal With SAR-Optical Data Fusion Using a Unified Spatial-Spectral Residual Network.
IEEE Trans. Geosci. Remote. Sens.
Yuxi Wang, Bing Zhang, Wenjuan Zhang, Danfeng Hong, Bin Zhao, Zhen Li
2024 J jnl
Non-Local Similarity-Based Attentive Graph Convolution Network for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens.
Wenjuan Zhang, Ruiqi Sun, Zhen Li, Lianru Gao, Jiaxin Li, Bin Zhao, Bing Zhang
2023 C conf
Hyperspectral Image Denoising Using Low-Rank and Sparse Model Based Deep Unrolling.
IGARSS
Bin Zhao, Magnus O. Ulfarsson, Jakob Sigurdsson
2023 C conf
Spectral-Spatial Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification.
IGARSS
Bin Zhao, Zhao Yuan, Jakob Sigurdsson, Magnus O. Ulfarsson
2022 J jnl
Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations.
IEEE Trans. Geosci. Remote. Sens.
Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot
2022 J jnl
Predicting Classification Performance for Benchmark Hyperspectral Datasets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Bin Zhao, Haukur Isfeld Ragnarsson, Magnus O. Ulfarsson, Gabriele Cavallaro, Jón Atli Benediktsson
2022 J jnl
Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot
2021 C conf
Non-Local Means Low-Rank Approximation for Hyperspectral Denoising.
IGARSS
Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot
2021 C conf
Wavelet-Based Block Low-Rank Representations for Hyperspectral Denoising.
IGARSS
Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot
2020 C conf
Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers.
IGARSS
Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot
2020 C conf
Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising.
IGARSS
Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot
2020 J jnl
Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers.
Remote. Sens.
Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot
2019 C conf
(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification.
IGARSS
Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot
2019 C conf
Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification.
IGARSS
Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot
2017 J jnl
A new kernel method for hyperspectral image feature extraction.
Geo spatial Inf. Sci.
Bin Zhao, Lianru Gao, Wenzhi Liao, Bing Zhang
2017 C conf
Fusion of multi-scale hyperspectral and lidar features for tree species mapping.
IGARSS
Wenzhi Liao, Frieke Van Coillie, Liwei Li, Bin Zhao, Lianru Gao, Wilfried Philips, Bing Zhang
2017 J jnl
Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification.
Remote. Sens.
Lianru Gao, Bin Zhao, Xiuping Jia, Wenzhi Liao, Bing Zhang
2016 C conf
An optimized method of kernel minimum noise fraction for dimensionality reduction of hyperspectral imagery.
IGARSS
Bin Zhao, Lianru Gao, Bing Zhang