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2010 International Conference on Computational Aspects of Social Networks
An Intelligent Fusion Method of Sequential Images Based on Improved DSmT for Target Recognition
Taiyuan, China
September 26-September 28
ISBN: 978-0-7695-4202-7
ASCII Text
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Miao Zhuang, Cheng Yongmei, Pan Quan, Hou Jun, Liu Zhunga, "An Intelligent Fusion Method of Sequential Images Based on Improved DSmT for Target Recognition," Computational Aspects of Social Networks, International Conference on, pp. 369-373, 2010 International Conference on Computational Aspects of Social Networks, 2010.
 
 
BibTex
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@article{ 10.1109/CASoN.2010.90,
author = {Miao Zhuang and Cheng Yongmei and Pan Quan and Hou Jun and Liu Zhunga},
title = {An Intelligent Fusion Method of Sequential Images Based on Improved DSmT for Target Recognition},
journal ={Computational Aspects of Social Networks, International Conference on},
volume = {0},
year = {2010},
isbn = {978-0-7695-4202-7},
pages = {369-373},
doi = {http://doi.ieeecomputersociety.org/10.1109/CASoN.2010.90},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computational Aspects of Social Networks, International Conference on
TI - An Intelligent Fusion Method of Sequential Images Based on Improved DSmT for Target Recognition
SN - 978-0-7695-4202-7
SP369
EP373
A1 - Miao Zhuang,
A1 - Cheng Yongmei,
A1 - Pan Quan,
A1 - Hou Jun,
A1 - Liu Zhunga,
PY - 2010
KW - target identification
KW - data fusion
KW - DSmT
KW - BP neural network
VL - 0
JA - Computational Aspects of Social Networks, International Conference on
ER -
 
It is proposed that a sequential images object recognition method combining a BP neural network with the fast mass functions convergence algorithm based on DSmT. The revised Hu invariant moments are used as the image features. And the sequential images are fused in time domain in the view of information fusion. The basic belief assignment function is created by the initial recognition result from a BP neural network. It completes the decision-level fusion with the fast mass functions convergence algorithm based on DSmT. Simulation result shows that the proposed method can improve the accuracy significantly for three-dimensional aircraft images target recognition.
Index Terms:
target identification, data fusion, DSmT, BP neural network
Citation:
Miao Zhuang, Cheng Yongmei, Pan Quan, Hou Jun, Liu Zhunga, "An Intelligent Fusion Method of Sequential Images Based on Improved DSmT for Target Recognition," cason, pp.369-373, 2010 International Conference on Computational Aspects of Social Networks, 2010
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