Dr. Bing Liu Profile

Dr. Bing Liu

at Zhengzhou Institute of Surveying And Mapping

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Author

Publications (8)

SPIE Journal Paper | 18 March 2024

Text guided zero-shot scene classification of high spatial resolution remote sensing images

Bing Liu, Xiaohui Chen, Dewei Zhou, Peng Wang, Ruirui Wang

JARS, Vol. 18, Issue 01, 014525, (March 2024) https://doi.org/10.1117/12.10.1117/1.JRS.18.014525

KEYWORDS: Remote sensing, Scene classification, Education and training, Image classification, Machine learning, Spatial resolution, Semantics, Data modeling, Transformers, Statistical modeling

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Proceedings Article | 10 February 2023 Paper

Transformer-enhanced convolutional neural network with self-supervised learning for hyperspectral image classification

Yifan Sun, Bing Liu, Zhixiang Xue, Kuiliang Gao, Xibing Zuo, Mofan Dai

Proceedings Volume 12552, 1255238 (2023) https://doi.org/10.1117/12.2667329

KEYWORDS: Feature extraction, Education and training, Transformers, Image classification, Hyperspectral imaging, Convolutional neural networks, Support vector machines, Statistical modeling, Image processing

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SPIE Journal Paper | 12 September 2022

Attention U-shaped network for hyperspectral image classification

Ruirui Wang, Bing Liu, Anzhu Yu, Wenjie Wang, Xuejun Jiao

JARS, Vol. 16, Issue 03, 036515, (September 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.036515

KEYWORDS: Image classification, Hyperspectral imaging, Computer programming, Convolution, Remote sensing, Scene classification, Image processing, Classification systems, Image segmentation, 3D modeling

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SPIE Journal Paper | 4 February 2022

Multiscale nested U-Net for small sample classification of hyperspectral images

Bing Liu, Anzhu Yu, Kuiliang Gao, Yusong Wang, Xuchu Yu, Pengqiang Zhang

JARS, Vol. 16, Issue 01, 016506, (February 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.016506

KEYWORDS: Image classification, Hyperspectral imaging, Classification systems, Gaussian filters, Image segmentation, Convolution, Performance modeling, Computer programming, Statistical modeling, Feature extraction

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SPIE Journal Paper | 24 September 2021

Deep global-local transformer network combined with extended morphological profiles for hyperspectral image classification

Xiong Tan, Kuiliang Gao, Bing Liu, Yumeng Fu, Lei Kang

JARS, Vol. 15, Issue 03, 038509, (September 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.038509

KEYWORDS: Transformers, Data modeling, Visual process modeling, Feature extraction, Convolution, Image classification, 3D modeling, Performance modeling, Network architectures, Hyperspectral imaging

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SPIE Journal Paper | 1 June 2020

Semisupervised graph convolutional network for hyperspectral image classification

Bing Liu, Kuiliang Gao, Anzhu Yu, Wenyue Guo, Ruirui Wang, Xibing Zuo

JARS, Vol. 14, Issue 02, 026516, (June 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.026516

KEYWORDS: Image classification, Hyperspectral imaging, Statistical modeling, Convolution, Feature extraction, Data modeling, 3D modeling, Convolutional neural networks, Neural networks, Optical filters

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SPIE Journal Paper | 11 June 2018

Deep convolutional recurrent neural network with transfer learning for hyperspectral image classification

Bing Liu, Xuchu Yu, Anzhu Yu, Gang Wan

JARS, Vol. 12, Issue 02, 026028, (June 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.026028

KEYWORDS: Hyperspectral imaging, Image classification, Neural networks, Data modeling, Feature extraction, Statistical modeling, 3D modeling, Convolutional neural networks, 3D image processing, Sensors

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SPIE Journal Paper | 4 January 2018

Spectral–spatial classification of hyperspectral image using three-dimensional convolution network

Bing Liu, Xuchu Yu, Pengqiang Zhang, Xiong Tan, Ruirui Wang, Lu Zhi

JARS, Vol. 12, Issue 01, 016005, (January 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.016005

KEYWORDS: Convolution, Image classification, Hyperspectral imaging, 3D modeling, Feature extraction, Data modeling, 3D image processing, Principal component analysis, Visualization, Convolutional neural networks

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Showing 5 of 8 publications

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