会议专题

A drone detection with aircraft classification based on a camera array

  In recent years,because of the rapid popularity of drones,many people have begun to operate drones,bringing a range of security issues to sensitive areas such as airports and military locus.It is one of the important ways to solve these problems by realizing fine-grained classification and providing the fast and accurate detection of different models of drone.The main challenges of fine-grained classification are that:(1)there are various types of drones,and the models are more complex and diverse.(2)the recognition test is fast and accurate,in addition,the existing methods are not efficient.In this paper,we propose a fine-grained drone detection system based on the high resolution camera array.The system can quickly and accurately recognize the detection of fine grained drone based on hd camera.

Hao Liu Fangchao Qu Yingjian Liu Wei Zhao Yitong Chen

School of Information Science and Technology,Ocean University of China,Qingdao,China School of Law,Ocean University of China,Qingdao,China

国际会议

2017 International Symposium on Application of Materials Science and Energy Materials (SAMSE 2017) (2017材料科学应用与能源材料国际研讨会)

上海

英文

1-7

2017-12-28(万方平台首次上网日期,不代表论文的发表时间)