Lightweight Synthetic Aperture Radar Ship Detection Based on Contour Enhancement

Yang Wu; Chunyuan Wang; Xiaolong Li; Lianlei Lin

doi:10.3788/LOP241625

Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0615009(2025)

Lightweight Synthetic Aperture Radar Ship Detection Based on Contour Enhancement

Yang Wu1,*... Chunyuan Wang2, Xiaolong Li3 and Lianlei Lin4 |Show fewer author(s)

Author Affiliations

¹Shanghai Institute of Satellite Engineering, Shanghai 201109, China

²School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

³Shanghai Satellite Equipment Research Institute, Shanghai 200240, China

⁴School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang , China

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Figures & Tables(8)

Fig. 1. Contour enhancement preprocessing based on anisotropic diffusion

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Fig. 2. Architecture of FasterNet-T0

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Fig. 3. Non-local attention mechanism

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Fig. 4. Proposed network framework

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Fig. 5. Image preprocessing results based on contour enhancement. (a) Original SAR image; (b) images after anisotropic diffusion filtering; (c) contour extracted by four directional Sobel operator; (d) SAR images fused by three channels

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Table 1. Results of ablation experiments
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Table 1. Results of ablation experiments
Method AP_S /% AP_H /% FLOPs /10⁹ Parameter /10⁶
YOLOX 96.97 87.50 26.92 8.96
YOLOX+FasterNet 97.20 88.14 10.40 4.30
YOLOX+FasterNet+NLA 97.52 88.87 10.70 4.50
YOLOX+ADIE 97.33 88.43 ‒ ‒
Proposed 97.72 89.93 10.70 4.50

Table 2. Comparison results with classical networks

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Table 2. Comparison results with classical networks

Method	AP_S /%	AP_H /%	FLOPs /10⁹	Parameter /10⁶
Faster R-CNN	95.40	82.12	91.41	41.12
YOLOv3	96.20	85.20	61.62	77.54
CenterNet	95.10	86.59	20.40	14.21
YOLOv5	96.28	87.34	16.54	7.23
YOLOX	96.97	87.50	26.92	8.96
YOLOv7	97.40	89.70	18.38	5.68
Proposed	97.72	89.93	10.70	4.50

Table 3. Comparison results with SAR ship detection methods

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Table 3. Comparison results with SAR ship detection methods

Method	AP_S /%	AP_H /%	FLOPs /10⁹	Parameter /10⁶
BL-Net^［20］	95.25	88.67	41.17	47.81
YOLOv5+BiFPN^［21］	95.02	85.11	‒	‒
ATSD^［22］	96.88	88.19	7.25	61.50
FBUA-Net^［23］	96.20	90.30	71.11	36.54
LPEDet^［24］	97.40	89.70	18.38	5.68
PPA-Net^［25］	95.19	89.27	‒	‒
Proposed	97.72	89.93	10.70	4.50

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Yang Wu, Chunyuan Wang, Xiaolong Li, Lianlei Lin. Lightweight Synthetic Aperture Radar Ship Detection Based on Contour Enhancement[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0615009

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