TY - GEN
T1 - Optimize TOD placement using genetic algorithm
AU - Kim, Namhoon
AU - Sohn, Hong Gyoo
AU - Jeon, Doe Gyu
AU - Jang, Hyo Seon
N1 - Publisher Copyright:
© 2014 IEEE.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2014/1/23
Y1 - 2014/1/23
N2 - Geospatial information system (GIS) is widely used in military sides. As an example, penetration analysis is typical for GIS using in military side. In this paper, we apply GIS to analyze the optimized detector location. We use the thermal observation device (TOD), and select Daejeon city to perform this analysis. In this paper, we use DEM data and VITD data. We bring genetic algorithm in our procedure to fine a more effective and global solution. The locations of the rectangular coordinate point (i.e., x and y pixel coordinate) of TOD will be a gene, and a group of TOD locations will be a chromosome. We select the uniform crossover method to make next generation. Target function is composed with detected pixel number part and detection probability part. The research goal of this study is to find the location with the highest target function value. Result of the experiments provide optimized TOD placement.
AB - Geospatial information system (GIS) is widely used in military sides. As an example, penetration analysis is typical for GIS using in military side. In this paper, we apply GIS to analyze the optimized detector location. We use the thermal observation device (TOD), and select Daejeon city to perform this analysis. In this paper, we use DEM data and VITD data. We bring genetic algorithm in our procedure to fine a more effective and global solution. The locations of the rectangular coordinate point (i.e., x and y pixel coordinate) of TOD will be a gene, and a group of TOD locations will be a chromosome. We select the uniform crossover method to make next generation. Target function is composed with detected pixel number part and detection probability part. The research goal of this study is to find the location with the highest target function value. Result of the experiments provide optimized TOD placement.
UR - http://www.scopus.com/inward/record.url?scp=84988246847&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988246847&partnerID=8YFLogxK
U2 - 10.1109/ICCAIS.2014.7020545
DO - 10.1109/ICCAIS.2014.7020545
M3 - Conference contribution
AN - SCOPUS:84988246847
T3 - 2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
SP - 136
EP - 139
BT - 2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Control, Automation and Information Sciences, ICCAIS 2014
Y2 - 2 December 2014 through 5 December 2014
ER -