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Title:
a particle swarm optimization algorithm for least visual path problem in raster terrain
Author: Zheng Changwen ; Yin Huafei ; Li Jie ; Lu Min
Source: Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
Conference Name: 2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
Conference Date: December 14, 2011 - December 17, 2011
Issued Date: 2011
Conference Place: Wuhan, Hubei, China
Keyword: Algorithms ; Metals ; Motion planning ; Particle swarm optimization (PSO) ; Regression analysis ; Visibility
Indexed Type: EI
ISBN: 9780769546230
Department: (1) Science and Technology on Integrated Information System Laboratory Institute of Software Chinese Academy of Sciences Beijing China
Sponsorship: IEEE Tainan Section; Huazhong University of Science and Technology; National Cheng Kung University
Abstract: Least visible path analysis is a basic function in terrain visibility analysis. However, existing least visible path planning is constrained to least-cost path computing on a cost surface got from visibility information of all the terrain points on digital elevation model. This kind of method ignores the overlapped part of the adjacent points' view sheds. This paper discussed the least visual path problem and proposed a particle swarm optimization algorithm using the amalgamation of view shed to find an optimal covert path. The experimental results show that the new method produces more accurate least visible paths than the traditional one does. © 2011 IEEE.
English Abstract: Least visible path analysis is a basic function in terrain visibility analysis. However, existing least visible path planning is constrained to least-cost path computing on a cost surface got from visibility information of all the terrain points on digital elevation model. This kind of method ignores the overlapped part of the adjacent points' view sheds. This paper discussed the least visual path problem and proposed a particle swarm optimization algorithm using the amalgamation of view shed to find an optimal covert path. The experimental results show that the new method produces more accurate least visible paths than the traditional one does. © 2011 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16289
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zheng Changwen,Yin Huafei,Li Jie,et al. a particle swarm optimization algorithm for least visual path problem in raster terrain[C]. 见:2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011. Wuhan, Hubei, China. December 14, 2011 - December 17, 2011.
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