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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| 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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