舰船电子工程2019，Vol.39Issue(5)：30-35,6.DOI:10.3969/j.issn.1672-9730.2019.05.009
基于SSD算法的实时无人机识别方法研究∗
Research on Real-time UAV Recognition Method Based on SSD Algorithm
摘要
Abstract
The wide use of the Unmanned Aerial Vehicle(UAV)brings convenience to people,it also causes some new questions. For example,the UAV fly into No-fly zone,and people collision accident which results in safety problem. Therefore,a real-time and accurately recognition,monitor and control system of the UAV target inspecified areas are needed. To settle the problem of fast detecting and recognizing the UAV target in the images,two real-time UAV recognition methods based on SSD algorithm are proposed. In one method,Firstly,the location of UVA from a video stream is grabbed using SSD. Secondly,by utilizing ResNet UVA deep feature is extracted,and then 1000 dimension vectors are gotten. At last,KNN algorithm is used to classify the extracted feature vectors,and then the UVA recognition result is gotten. The recognition accuracy has reached 79% in the collected UVA testing set. In another method,the detected UVA by SSD is sent into AlexNet to do fine-tuning,whose accuracy has reached 83.75% in the UVA testing set. Experiments show that the two method both can accomplish real-time UAV recognition, and the second method is better than the first method on the aspect of accuracy. By incorporating the Storm framework,it ensures that data is processed with high throughput.关键词
SSD算法/无人机检测/无人机分类/无人机识别/ResNet网络/AlexNet网络Key words
SSD algorithm/UAV detection/UAV classification/UAV recognition/ResNet network/AlexNet network分类
信息技术与安全科学引用本文复制引用
李秋珍,熊饶饶,王汝鹏,祁迪..基于SSD算法的实时无人机识别方法研究∗[J].舰船电子工程,2019,39(5):30-35,6.基金项目
中国船舶重工集团公司十三五联合基金项目(编号:6141B04050101-10)资助. （编号:6141B04050101-10）
