UniU-Net: A Unified U-Net Deep Learning Approach for High-Precision Areca Palm Segmentation in Remote Sensing Imagery

UniU-Net: A Unified U-Net Deep Learning Approach for High-Precision Areca Palm Segmentation in Remote Sensing Imagery

This study introduces a novel deep learning-based model, UniU-Net, designed to achieve the high-precision segmentation of areca palms in remote sensing imagery. UniU-Net incorporates an auxiliary encoder and a unified attention fusion module (UAFM), enhancing the model’s anti-overfitting capabilitie...

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Bibliographic Details
Main Authors: Shaohua Wang, Yan Wang, Jianwei Yue, Haojian Liang, Zihan Zhang, Bojun Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
areca palm extraction
remote sensing
deep learning
attention mechanism
UniU-Net
Online Access:https://www.mdpi.com/2076-3417/15/9/4813
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