A Decoupled Head and Coordinate Attention Detection Method for Ship Targets in SAR Images

Currently, deep learning-based synthetic aperture radar (SAR) image ship target detection methods have been widely used in the field of SAR image ship detection. However, these methods suffer from high model complexity and poor performance when detecting small dense targets. To address this problem,...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.1-1
Hauptverfasser:	Li, Qinzuo, Xiao, Dengjun, Shi, Fangying
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applications programs Complexity Computational modeling coordinate attention Datasets decoupled head Deep learning Feature extraction Image resolution Lightweight Machine learning Marine vehicles Mobile computing Object detection Performance degradation Radar imaging SAR Ship detection Synthetic aperture radar Target detection Target recognition YOLO
Online-Zugang:	Volltext
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