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MSRA-G: Combination of multi-scale residual attention network and generative adversarial networks for hyperspectral image classification.

J. Zhao, L. Hu, L. Huang, C. Wang, and D. Liang. Eng. Appl. Artif. Intell., (May 2023)

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Josef Huang

Pa Huang

Feiqing Huang

Zhida Huang

Haishi Huang

Other publications of authors with the same name

Estimation of the Leaf Area Index Using a Modified Triangular Difference Vegetation Index.L. Huang, J. Jiang, F. Song, J. Zhao, and W. Huang. IGARSS, page 7200-7203. IEEE, (2019)Evaluation of the Consistency of MODIS Land Cover Product (MCD12Q1) Based on Chinese 30 m GlobeLand30 Datasets: A Case Study in Anhui Province, China.D. Liang, Y. Zuo, L. Huang, J. Zhao, L. Teng, and F. Yang. ISPRS Int. J. Geo Inf., 4 (4): 2519-2541 (2015)Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier.C. Zhou, G. Yang, D. Liang, J. Hu, H. Yang, J. Yue, R. Yan, L. Han, L. Huang, and L. Xu. Comput. Electron. Agric., (2021)New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases.W. Huang, Q. Guan, J. Luo, J. Zhang, J. Zhao, D. Liang, L. Huang, and D. Zhang. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (6): 2516-2524 (2014)Identification of wheat leaf diseases and their severity based on elliptical-maximum margin criterion metric learning.W. Bao, J. Zhao, G. Hu, D. Zhang, L. Huang, and D. Liang. Sustain. Comput. Informatics Syst., (2021)The Estimation of Winter Wheat Yield Based on MODIS Remote Sensing Data.L. Huang, Q. Yang, D. Liang, Y. Dong, X. Xu, and W. Huang. CCTA (2), volume 369 of IFIP Advances in Information and Communication Technology, page 496-503. Springer, (2011)MSRA-G: Combination of multi-scale residual attention network and generative adversarial networks for hyperspectral image classification.J. Zhao, L. Hu, L. Huang, C. Wang, and D. Liang. Eng. Appl. Artif. Intell., (May 2023)Wheat Fusarium Head Blight Identification Based on New Index Using in Situ Hyperspectral Data.H. Zhang, L. Huang, J. Zhao, F. Kong, Q. Lu, and J. Shang. Agro-Geoinformatics, page 1-6. IEEE, (2023)Fusion and assessment of high-resolution WorldView-3 satellite imagery using NNDiffuse and Brovey algotirhms.J. Zhao, L. Huang, H. Yang, D. Zhang, Z. Wu, and J. Guo. IGARSS, page 2606-2609. IEEE, (2016)Investigation of Natural Ecological Enviroment Using Remote Sensing Based Integrated Index at a City Scale.J. Zhao, J. Wang, Q. Hong, Q. Song, L. Huang, and D. Zhang. IGARSS, page 2467-2470. IEEE, (2018)

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Disambiguation of "Huang, Linsheng"

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MSRA-G: Combination of multi-scale residual attention network and generative adversarial networks for hyperspectral image classification.

Please choose a person to relate this publication to

Josef Huang

Pa Huang

Feiqing Huang

Zhida Huang

Haishi Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Linsheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MSRA-G: Combination of multi-scale residual attention network and generative adversarial networks for hyperspectral image classification.

Please choose a person to relate this publication to

Josef Huang

Pa Huang

Feiqing Huang

Zhida Huang

Haishi Huang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSRA-G: Combination of multi-scale residual attention network and generative adversarial networks for hyperspectral image classification.