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Open AccessArticle

Ship Target Detection Algorithm Based on Improved Faster R-CNN

Ship Intelligent Manufacturing and Intelligent Ship Integrated Laboratory, School of Electronic Information, Jiangsu University of Science and Technology, 2 Mengxi Road, Zhenjiang 212000, China
Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing 100190, China
Author to whom correspondence should be addressed.
Electronics 2019, 8(9), 959;
Received: 25 July 2019 / Revised: 14 August 2019 / Accepted: 27 August 2019 / Published: 29 August 2019
(This article belongs to the Special Issue Deep Neural Networks and Their Applications)
Ship target detection has urgent needs and broad application prospects in military and marine transportation. In order to improve the accuracy and efficiency of the ship target detection, an improved Faster R-CNN (Faster Region-based Convolutional Neural Network) algorithm of ship target detection is proposed. In the proposed method, the image downscaling method is used to enhance the useful information of the ship image. The scene narrowing technique is used to construct the target regional positioning network and the Faster R-CNN convolutional neural network into a hierarchical narrowing network, aiming at reducing the target detection search scale and improving the computational speed of Faster R-CNN. Furthermore, deep cooperation between main network and subnet is realized to optimize network parameters after researching Faster R-CNN with subject narrowing function and selecting texture features and spatial difference features as narrowed sub-networks. The experimental results show that the proposed method can significantly shorten the detection time of the algorithm while improving the detection accuracy of Faster R-CNN algorithm. View Full-Text
Keywords: ship target detection; Faster R-CNN; scene semantic narrowing; topic narrowing subnetwork ship target detection; Faster R-CNN; scene semantic narrowing; topic narrowing subnetwork
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Qi, L.; Li, B.; Chen, L.; Wang, W.; Dong, L.; Jia, X.; Huang, J.; Ge, C.; Xue, G.; Wang, D. Ship Target Detection Algorithm Based on Improved Faster R-CNN. Electronics 2019, 8, 959.

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