Published March 1, 2018 | Version v1
Journal article

A drone detection with aircraft classification based on a camera array

  • 1. School of Information Science and Technology, Ocean University of China, Qingdao (China)
  • 2. School of Law, Ocean University of China, Qingdao (China)

Description

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. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/322/5/052005

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
322
Journal Issue
5
Journal Page Range
[7 p.]
ISSN
1757-899X

Conference

Title
International Symposium on Application of Materials Science and Energy Materials
Acronym
SAMSE 2017
Dates
28-29 Dec 2017
Place
Shanghai (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52079237
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S47: OTHER INSTRUMENTATION;
Resource subtype / Literary indicator
Conference
Descriptors DEI
AIRPORTS; CAMERAS; CLASSIFICATION; DETECTION; RESOLUTION; UNMANNED AERIAL VEHICLES
Descriptors DEC
AIRCRAFT