DSA-YOLO： An Improved YOLOv11n Algorithm for Rail Surface Damage Detection

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Graphic and Image Processing | 更新时间：2026-08-03

- DSA-YOLO： An Improved YOLOv11n Algorithm for Rail Surface Damage Detection
- Software Guide Vol. 25, Issue 7, Pages: 152-160(2026)
- 作者机构：
  
  1.大连交通大学智能轨道工程学院
  2.大连交通大学辽宁省轨道交通装备焊接与可靠性重点实验室
  3.大连交通大学大连市区块链技术与应用重点实验室，辽宁大连 116028
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251230
  CLC： TP317.4
- Received：25 April 2025，
  
  Online First：03 August 2026，
  
  Published：15 July 2026
- 稿件说明：
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陈猛,邹丽,韩彦强.DSA-YOLO：一种改进YOLOv11n的铁轨表面损伤检测算法[J].软件导刊,2026,25(07):152-160.

CHEN Meng,ZOU Li,HAN Yanqiang.DSA-YOLO： An Improved YOLOv11n Algorithm for Rail Surface Damage Detection[J].Software Guide,2026,25(07):152-160.
陈猛,邹丽,韩彦强.DSA-YOLO：一种改进YOLOv11n的铁轨表面损伤检测算法[J].软件导刊,2026,25(07):152-160. DOI： 10.11907/rjdk.251230.

CHEN Meng,ZOU Li,HAN Yanqiang.DSA-YOLO： An Improved YOLOv11n Algorithm for Rail Surface Damage Detection[J].Software Guide,2026,25(07):152-160. DOI： 10.11907/rjdk.251230.

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