Remote Sensing Image Ship Detection Based on Improved R-FCN

Jianlin Wang; Xiaoqi Lü; Ming Zhang; Jing Li

doi:10.3788/LOP56.162803

Laser & Optoelectronics Progress, Volume. 56, Issue 16, 162803(2019)

Remote Sensing Image Ship Detection Based on Improved R-FCN

Jianlin Wang¹, Xiaoqi Lü^1,2、*, Ming Zhang¹, and Jing Li¹

¹ Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 0 14010, China

² School of Information Engineering, Inner Mongolia University of Technology, Hohhot, Inner Mongolia 0 10051, China

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Fig. 1. Diagram of R-FCN network structure

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Fig. 2. Diagram of RoI

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Fig. 3. Residual structure

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Fig. 4. Improved residual block structure

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Fig. 5. Splitting diagrams

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Fig. 6. Ship detection results of Sentinel-1 images. (a) Picture 1 to be tested; (b) picture 2 to be tested; (c) picture 3 to be tested; (d) original R-FCN detection result of Fig. 6(a); (e) original R-FCN detection result of Fig. 6(b); (f) original R-FCN detection results of Fig. 6(c); (g) detection result of improved Faster R-FCN for Fig. 6(a); (h) detection result of improved Faster R-FCN for Fig. 6(b); (i) detection result of improved Faster R-FCN for Fig. 6(c); (j) detection result of improved R-FC

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Fig. 7. Test results

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Fig. 8. Ship detection results of GF-3 image. (a) Picture 1 to be tested; (b) picture 2 to be tested; (c) picture 3 to be tested; (d) detection result of improved R-FCN for Fig. 8(a); (e) detection result of improved R-FCN for Fig. 8(b); (f) detection result of improved R-FCN for Fig. 8(c)

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Table 1. Statistic table of ship detection results of images with different sizes
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Table 1. Statistic table of ship detection results of images with different sizes
Parameter Value
Image size /(pixel×pixel) 156×156 256×256 500×500 800×800 1000×1000 1200×1200 1500×1500
N_detection 29 29 29 29 28 26 25
N_miss 0 0 0 0 1 3 4
A_time /s 0.09 0.09 0.11 0.11 0.13 0.14 0.16

Table 2. Statistical table of ship detection results

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Table 2. Statistical table of ship detection results

Method	Image	N_target	N_detection	N_false	N_miss	P_Precise /%	R_Recall /%
R-FCN	Sentinel-1	124	32	7	99	78.12	20.16
	GF-3	82	27	9	64	66.67	21.95
Faster-RCNN	Sentinel-1	124	106	4	12	96.23	82.25
	GF-3	82	76	4	10	94.74	87.80
Improved R-FCN	Sentinel-1	124	118	3	9	97.46	92.74
	GF-3	82	76	2	8	97.37	90.24

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Jianlin Wang, Xiaoqi Lü, Ming Zhang, Jing Li. Remote Sensing Image Ship Detection Based on Improved R-FCN[J]. Laser & Optoelectronics Progress, 2019, 56(16): 162803

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