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    • Effects of image input size and resolution by CNN on the classification accuracy for coniferous forest vegetation in western Sichuan

    • Vol. 27, Issue 11, Pages: 2640-2652(2023)   
    • DOI: 10.11834/jrs.20221868     

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  • Shi W B,Liao X H,Wang S Q,Yue H Y and Wang D L. 2023. Effects of image input size and resolution by CNN on the classification accuracy for coniferous forest vegetation in western Sichuan. National Remote Sensing Bulletin, 27(11):2640-2652 DOI: 10.11834/jrs.20221868.
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University of Chinese Academy of Sciences, College of Resources and Environment
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China University of Geosciences (Wuhan), School of Geography and Information Engineering, Laboratory of Regional Ecological Processes and Environmental Evolution
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University
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