中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Maritime Static Target Search Based on Particle Swarm Algorithm

文献类型:会议论文

作者Lv JF(吕进锋)1,2,3; Liu MD(刘明第)1,2,3; Zhao HC(赵怀慈)1,2,3; Li B(李波)1,2,3; Sun SJ(孙士杰)1,2,3
出版日期2016
会议日期September 21-22, 2016
会议地点London, ENGLAND
关键词Maritime search and rescue Static target Particle swarm algorithm
页码917-927
英文摘要Maritime search is one of the most important components of maritime search and rescue task, and in most cases it decides the success of the whole task. This paper aims at solving the problem of the search for maritime static target. On the basis of the position information of the target, the paper establishes the model of the problem firstly, then it establishes sub-region importance evaluation function to classify different sub-regions. For each sub-region, this paper calculates its center position. At last, this paper makes search plan for search unit by using improved particle swarm algorithm. The experimental results show that the method proposed by this paper can improve cumulative probability of success by 16.4% on average compared with the original particle swarm algorithm.
源文献作者SAI, UKRI Comp Chapter, HPCC Syst, IEEE, IBM Watson AI XPrize
产权排序1
会议录PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 2
会议录出版者SPRINGER INTERNATIONAL PUBLISHING AG
会议录出版地CHAM, SWITZERLAND
语种英语
ISSN号2367-3370
ISBN号978-3-319-56991-8; 978-3-319-56990-1
WOS记录号WOS:000448662500067
源URL[http://ir.sia.cn/handle/173321/23550]  
专题沈阳自动化研究所_光电信息技术研究室
通讯作者Lv JF(吕进锋)
作者单位1.Department of Optical-Electronics and Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Key Laboratory of Image Understanding and Computer Vision, Chinese Academy of Sciences, Shenyang, China
3.Key Laboratory of Optical-Electronics Information Processing, University of Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Lv JF,Liu MD,Zhao HC,et al. Maritime Static Target Search Based on Particle Swarm Algorithm[C]. 见:. London, ENGLAND. September 21-22, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

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