Ship Target Detection Algorithm Based on Improved Faster R-CNN
文献类型：期刊论文
| 作者 | Qi, Liang1; Li, Bangyu2 ; Chen, Liankai1; Wang, Wei1; Dong, Liang1; Jia, Xuan1; Huang, Jing1; Ge, Chengwei1; Xue, Ganmin1; Wang, Dong1
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| 刊名 | ELECTRONICS
 |
| 出版日期 | 2019-09-01 |
| 卷号 | 8期号:9页码:19 |
| 关键词 | ship target detection Faster R-CNN scene semantic narrowing topic narrowing subnetwork |
| DOI | 10.3390/electronics8090959 |
| 通讯作者 | Chen, Liankai(chenliankai@stu.just.edu.cn) |
| 英文摘要 | 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. |
| 资助项目 | Jiangsu Collaborative Innovation Platform Project[HZ201805] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000489128400046 |
| 资助机构 | Jiangsu Collaborative Innovation Platform Project |
| 源URL | [http://ir.ia.ac.cn/handle/173211/26447]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 通讯作者 | Chen, Liankai |
| 作者单位 | 1.Jiangsu Univ Sci & Technol, Sch Elect Informat, Ship Intelligent Mfg & Intelligent Ship Integrate, 2 Mengxi Rd, Zhenjiang 212000, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qi, Liang,Li, Bangyu,Chen, Liankai,et al. Ship Target Detection Algorithm Based on Improved Faster R-CNN[J]. ELECTRONICS,2019,8(9):19. |
| APA | Qi, Liang.,Li, Bangyu.,Chen, Liankai.,Wang, Wei.,Dong, Liang.,...&Wang, Dong.(2019).Ship Target Detection Algorithm Based on Improved Faster R-CNN.ELECTRONICS,8(9),19. |
| MLA | Qi, Liang,et al."Ship Target Detection Algorithm Based on Improved Faster R-CNN".ELECTRONICS 8.9(2019):19. |
入库方式： OAI收割
来源：自动化研究所
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