Ship Detection Based on SAR Images Using Deep Feature Pyramid and Cascade Detector

Yunfei Zhao; Baohua Zhang; Yanyue Zhang; Yu Gu; Yueming Wang; Jianjun Li; Ying Zhao

doi:10.3788/LOP57.121019

Laser & Optoelectronics Progress, Volume. 57, Issue 12, 121019(2020)

Ship Detection Based on SAR Images Using Deep Feature Pyramid and Cascade Detector

Yunfei Zhao, Baohua Zhang^*, Yanyue Zhang, Yu Gu, Yueming Wang, Jianjun Li, and Ying Zhao

School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China

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Figures & Tables(5)

Fig. 1. Faster R-CNN detection framework

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Fig. 2. DFP extraction network

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Fig. 3. Cascade detector

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Fig. 4. Ship detection results of different scales and angles. (a)(b)(c) Large areas of sea; (d)(e)(f) port areas; (g)(h)(i) track interference

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Table 1. Ship detection results

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Table 1. Ship detection results

Algorithm	N_target	N_detection	N_false	N_miss	Precision /%	Recall /%
Faster R-CNN	158	141	9	17	95.83	82.31
Faster R-CNN+SDA	158	145	7	13	97.22	82.78
Faster R-CNN+ DFP	158	146	5	12	96.74	83.83
Faster R-CNN+CS	158	149	5	9	97.21	84.13
Ours	158	154	2	4	98.52	84.59

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Yunfei Zhao, Baohua Zhang, Yanyue Zhang, Yu Gu, Yueming Wang, Jianjun Li, Ying Zhao. Ship Detection Based on SAR Images Using Deep Feature Pyramid and Cascade Detector[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121019

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Paper Information

Category: Image Processing

Received: Oct. 14, 2019

Accepted: Nov. 6, 2019

Published Online: Jun. 3, 2020

The Author Email: Zhang Baohua (zbh_wj2004@imust.cn)

DOI:10.3788/LOP57.121019

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology