Ship detection in infrared images based on YOLOV4 and salient regions
文献类型：会议论文
| 作者 | Zhang PP(张盼盼)1,2,3,4); Luo HB(罗海波) ; (1,2,3,4); Xu Z(徐峥)1,2,3,4; He M(何淼)1,2,3,4
|
| 出版日期 | 2021 |
| 会议日期 | October 28-31, 2021 |
| 会议地点 | Shanghai, China |
| 关键词 | infrared image ship detection deep convolutional neural network salient region |
| 页码 | 1-5 |
| 英文摘要 | Infrared image ship detection has important applications in military and civil affairs. Because infrared images are not easy to acquire in large quantities, deep neural networks cannot directly use infrared images for training; if the pre-trained model of visible light images is directly used for detection, the phenomenon of missed detection will be caused due to different imaging conditions. In response to this problem, this paper proposes a detection method that combines a deep convolutional neural network and salient region. Firstly, we proposed a method extracting salient region based on anchor and saliency map, then multiple new images are formed by salient regions, and the newly formed images and the original image are input to the deep convolutional neural network for parallel processing, and finally the results of the detection are integrated to produce the final detection results by the non-maximum suppression (NMS) method. The comparison results show that the method proposed in this paper can effectively reduce the rate of missed detection and thus improve the accuracy of detection. |
| 源文献作者 | Chinese Society for Optical Engineering |
| 产权排序 | 1 |
| 会议录 | Seventh Asia Pacific Conference on Optics Manufacture, APCOM 2021
 |
| 会议录出版者 | SPIE |
| 会议录出版地 | Bellingham, USA |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 978-1-5106-5208-8 |
| 源URL | [http://ir.sia.cn/handle/173321/30553]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Luo HB(罗海波) |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China |
| 推荐引用方式 GB/T 7714 | Zhang PP,Luo HB,et al. Ship detection in infrared images based on YOLOV4 and salient regions[C]. 见:. Shanghai, China. October 28-31, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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