The research on lightweight SAR ship detection method based on regression model and attention

Li-Yuan LI; Xiao-Yan LI; Zhuo-Yue HU; Xiao-Feng SU; Fan-Sheng CHEN

doi:10.11972/j.issn.1001-9014.2022.03.013

Journal of Infrared and Millimeter Waves, Volume. 41, Issue 3, 618(2022)

The research on lightweight SAR ship detection method based on regression model and attention

Li-Yuan LI^1,3, Xiao-Yan LI², Zhuo-Yue HU¹, Xiao-Feng SU^1、*, and Fan-Sheng CHEN^1,2、*

¹Key Laboratory of Intelligent Infrared Perception，Shanghai Institute of Technical Physics，Chinese Academy of Sciences，Shanghai 200083，China

²Hangzhou Institute for Advanced Study，University of Chinese Academy of Sciences，Hangzhou 310024，China

³University of Chinese Academy of Sciences，Beijing 100049，China

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Figures & Tables(7)

Fig. 1. Lightweight regression ImShips model

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Fig. 2. SElayer module

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Fig. 3. DWConv module

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Fig. 4. Regression prediction results of SAR images with simple background：（a）wide sea，and complex background：（b-g）shoreside，（h）river channel，（i，j）port，（k）different hull sizes

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Table 1. Confusion matrix
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Table 1. Confusion matrix
真实分类实验预测分类
船体背景
船体 TP FN
背景 FP TN

Table 2. Model parameter
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Table 2. Model parameter
Model Layers Para. /Million Frame
ImShips
390
283
4.14 119.18
YOLOv5s 7.28 109.27
YOLOv5m
391
499
607
21.38 85.10
YOLOv5l 47.06 74.77
YOLOv5x 87.78 54.07

Table 3. Model evaluation

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Table 3. Model evaluation

Model	IS	BS	Pr.（%）	Re.（%）	AP（%）	GFLOPs	$T_{m e a n}$
ImShips	640	32	97.18	98.94	98.68	9.3	8.39
YOLOv5s	640	32	96.55	97.91	97.46	17.1	9.15
YOLOv5m	320	8	89.10	93.35	91.70	51.4	11.75
YOLOv5l			86.44	93.90	91.54	115.6	13.37
YOLOv5x			84.07	92.48	89.60	219.0	18.49

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Li-Yuan LI, Xiao-Yan LI, Zhuo-Yue HU, Xiao-Feng SU, Fan-Sheng CHEN. The research on lightweight SAR ship detection method based on regression model and attention[J]. Journal of Infrared and Millimeter Waves, 2022, 41(3): 618

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