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

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 12 >Page 121019 > Article

Laser & Optoelectronics Progress
Vol. 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

Author Affiliations

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

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DOI: 10.3788/LOP57.121019 Cite this Article Set citation alerts

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 Copy Citation Text

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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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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

Table 1. Ship detection results

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