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Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1628002(2022)

Classification of Forest Types using UAV Remote Sensing Images Based on Improved Ant Colony Algorithm

Guiling Zhao, Pengnian Li*, Quanrong Guo, and Maolin Tan
Author Affiliations
  • School of Geomatics, Liaoning Technical University, Fuxin 123000, Liaoning , China
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    Article index updated: Sep. 7, 2025

    The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)
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    Guiling Zhao, Pengnian Li, Quanrong Guo, Maolin Tan. Classification of Forest Types using UAV Remote Sensing Images Based on Improved Ant Colony Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1628002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jun. 10, 2021

    Accepted: Jul. 9, 2021

    Published Online: Jul. 22, 2022

    The Author Email: Pengnian Li (759341522@.com)

    DOI:10.3788/LOP202259.1628002

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology