Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2428004(2024)

Land Cover Classification of UAV Visible Remote Sensing Based on Joint Distribution of Color-Spatial Feature

Yushuang Zeng1,2、*, Shaohua Zeng1,2, Li Yuan3, and Ying Long4
Author Affiliations
  • 1College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China
  • 2Chongqing Research Center on Engineer Technology of Digital Agricultural & Services, Chongqing 401331, China
  • 3College of Information Engineering, Chongqing Electric Power College, Chongqing 400053, China
  • 4College of Intelligent Information Engineering, Chongqing Aerospace Polytechnic College, Chongqing 400022, China
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    References(30)

    [3] Liu S, Zhu H. Object-oriented land-use classification based on ultra-high-resolution images taken by unmanned aerial vehicle[J]. Transactions of the Chinese Society of Agricultural Engineering, 36, 87-94(2020).

    [4] Li G Q, Bai Y Q, Yang X et al. Automatic deep learning land-cover classification methods for high-resolution remotely sensed images[J]. Journal of Geo-Information Science, 23, 1690-1704(2021).

    [5] Chen X C, Zhao J S, Chen L S et al. Land cover classification and change analysis of the Hongta District in Yuxi City based on Landsat images[J]. Forest Engineering, 35, 1-8(2019).

    [8] Zhang Z B, Zhao X N, Jiang H C et al. Precise classification of land use in Weibei Dryland using UAV images and deep learning[J]. Transactions of the Chinese Society of Agricultural Engineering, 38, 199-209(2022).

    [12] Zhang B, Liu Y Y, Wang L Y. Land use and cover classification based on multifeature soft probability cascading[J]. Resources Science, 39, 557-565(2017).

    [28] Gradshteĭn I S, Ryzhik I M, Jeffrey A et al[M]. Table of integrals, series and products(2007).

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    Yushuang Zeng, Shaohua Zeng, Li Yuan, Ying Long. Land Cover Classification of UAV Visible Remote Sensing Based on Joint Distribution of Color-Spatial Feature[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2428004

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 12, 2024

    Accepted: Apr. 26, 2024

    Published Online: Dec. 17, 2024

    The Author Email:

    DOI:10.3788/LOP240511

    CSTR:32186.14.LOP240511

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