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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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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Paper Information

Category: Remote Sensing and Sensors

Received: Jan. 24, 2019

Accepted: Mar. 22, 2019

Published Online: Aug. 5, 2019

The Author Email: Xiaoqi Lü (wangjl2019@126.com)

DOI:10.3788/LOP56.162803

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology