Remote Sensing Image Ship Detection Based on Improved R-FCN

Jianlin Wang; Xiaoqi Lü; Ming Zhang; Jing Li

doi:10.3788/LOP56.162803

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 16 >Page 162803 > Article

Laser & Optoelectronics Progress
Vol. 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

Author Affiliations

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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DOI: 10.3788/LOP56.162803 Cite this Article Set citation alerts

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 Copy Citation Text

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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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