Chaotic biogeography-based optimization approach to target detection in UAV surveillance-Reference-Cited by-同舟云学术

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Chaotic biogeography-based optimization approach to target detection in UAV surveillance

Published:2014-12 Issue:23 Volume:125 Page:7100-7105
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Zhang Qifu,Duan Haibin

Funder

National Key Basic Research Program of China

Natural Science Foundation of China (NSFC)

National Magnetic Confinement Fusion Research Program of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference28 articles.

1. Hybrid particle swarm optimization and genetic algorithm for multi-UAVs formation reconfiguration;Duan;IEEE Comput. Intell. Mag.,2013

2. An improved artificial physics approach to multiple UAVs/UGVs heterogeneous coordination;Luo;Sci. China Technol. Sci.,2013

3. Multiple UCAVs cooperative air combat simulation platform based on PSO, ACO, and game theory;Duan;IEEE Aerosp. Electron. Syst. Mag.,2013

4. Small and dim target detection via lateral inhibition filtering and artificial bee colony based selective visual attention;Duan;PLOS ONE,2013

5. Biologically eagle-eye-based visual imaging guidance simulation platform for unmanned flying vehicles;Duan;IEEE Aerosp. Electron. Syst. Mag.,2013

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3. Active disturbance rejection controller design for dynamically positioned vessels based on adaptive hybrid biogeography-based optimization and differential evolution;ISA Transactions;2018-07

4. A novel hybrid approach based on a chaotic cloud gravitational search algorithm to complicated image template matching;TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES;2017

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