Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery

This study highlights the importance of unmanned aerial vehicle (UAV) multispectral (MS) imagery for the accurate delineation and analysis of wetland ecosystems, which is crucial for their conservation and management. We present an enhanced semantic segmentation algorithm designed for UAV MS imagery...

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Bibliographic Details
Main Authors: Pakezhamu Nuradili, Ji Zhou, Guiyun Zhou, Farid Melgani
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/24/4777
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