FIDC-YOLO: Improved YOLO for Detecting Pine Wilt Disease in UAV Remote Sensing Images via Feature Interaction and Dependency Capturing

FIDC-YOLO: Improved YOLO for Detecting Pine Wilt Disease in UAV Remote Sensing Images via Feature Interaction and Dependency Capturing

Uncrewed aerial vehicle (UAV) remote sensing technology has been widely applied in pine wilt disease (PWD) detection. UAV-collected PWD images are characterized by complex backgrounds, small target sizes, and uneven spatial distribution. State-of-the-art generic detection methods typically use Trans...

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Bibliographic Details
Main Authors: Zekun Xu, Yipeng Zhou, Shiting Wen, Weipeng Jing
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Dependency capturing
feature interaction
object detection
pine wilt disease (PWD)
remote sensing (RS) images
Online Access:https://ieeexplore.ieee.org/document/11015558/
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https://ieeexplore.ieee.org/document/11015558/

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