Prof. Guo Cao Profile

Prof. Guo Cao

at Nanjing Univ of Science and Technology

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Author

Publications (5)

Proceedings Article | 27 June 2023 Paper

Hyperspectral image classification based on spectral spatial feature extraction and deep rotation forest ensemble with AdaBoost

Lindiao Deng, Guo Cao, Ling Xu, Hao Xu, Qikun Pan, Lanwei Ding, Yanfeng Shang

Proceedings Volume 12705, 1270519 (2023) https://doi.org/10.1117/12.2680064

KEYWORDS: Feature extraction, Deep learning, Hyperspectral imaging, Random forests, Image segmentation, Image classification, Principal component analysis

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Proceedings Article | 27 June 2023 Paper

Multi-scale attention-based few-shot hyperspectral images classification

Lanwei Ding, Guo Cao, Ling Xu, Lindiao Deng, Hao Xu, Qikun Pan, Yanfeng Shang

Proceedings Volume 12705, 127051D (2023) https://doi.org/10.1117/12.2680022

KEYWORDS: Feature extraction, Machine learning, Education and training, Convolution, Hyperspectral imaging, Neural networks, Image classification, Deep learning, Prior knowledge, Neurons

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Proceedings Article | 27 June 2023 Paper

A lightweight convolution network with self-knowledge distillation for hyperspectral image classification

Hao Xu, Guo Cao, Lindiao Deng, Lanwei Ding, Ling Xu, Qikun Pan, Yanfeng Shang

Proceedings Volume 12705, 1270515 (2023) https://doi.org/10.1117/12.2680012

KEYWORDS: Education and training, Convolution, Feature extraction, 3D modeling, Data modeling, Machine learning, Deep learning, Overfitting, Hyperspectral imaging, Image classification

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Proceedings Article | 12 October 2022 Paper

Hyperspectral image classification based on dual-branch attention network with 3-D octave convolution

Ling Xu, Guo Cao, Lindiao Deng, Lanwei Ding, Hao Xu, Qikun Pan

Proceedings Volume 12342, 123421X (2022) https://doi.org/10.1117/12.2644256

KEYWORDS: Convolution, Hyperspectral imaging, Image classification, Feature extraction

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Proceedings Article | 31 July 2019 Paper

A progressive approach for single image super-resolution

Yongbo Liang, Guo Cao, Xuesong Li

Proceedings Volume 11198, 1119805 (2019) https://doi.org/10.1117/12.2540564

KEYWORDS: Super resolution, RGB color model, Lawrencium, Reconstruction algorithms, Image resolution, Convolution, Neural networks, Feature extraction, Image restoration, Convolutional neural networks

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