SEMA-YOLO: Lightweight Small Object Detection in Remote Sensing Image via Shallow-Layer Enhancement and Multi-Scale Adaptation

Small object detection remains a challenge in the remote sensing field due to feature loss during downsampling and interference from complex backgrounds. A novel network, termed SEMA-YOLO, is proposed in this paper as an enhanced YOLOv11-based framework incorporating three technical advancements. By...

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Bibliographic Details
Main Authors: Zhenchuan Wu, Hang Zhen, Xiaoxinxi Zhang, Xuechen Bai, Xinghua Li
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/17/11/1917
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