AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images

AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images

Detecting farmland parcels in high-resolution remote sensing images is challenging in smallholder farming systems in China, characterized by fragmented plots, irregular shapes, and varying scales. To improve detection accuracy in these contexts, this study proposes AAMS-YOLO, a YOLO-based farmland p...

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Bibliographic Details
Main Authors: Binyao Wang, Ya’nan Zhou, Weiwei Zhu, Li Feng, Jinke He, Tianjun Wu, Jiancheng Luo, Xin Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Digital Earth
Subjects:
Farmland parcel detection
high-resolution remote sensing images
YOLO
attention mechanism
multi-scale object detection
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2024.2432532

Internet

https://www.tandfonline.com/doi/10.1080/17538947.2024.2432532

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