DocumentCode :
1894898
Title :
Research on Aircraft Object Recognition Model Based on Neural Networks
Author :
Henan, Wu ; Dejun, Li ; Hongwei, Wang ; Ying, Liu ; Xiaorui, Sun
Author_Institution :
Aviation Inf. Dept., Aviation Univ. of Air Force, Changchun, China
Volume :
1
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
160
Lastpage :
163
Abstract :
There is much difficulty in aircraft object recognition model validation. But lots of non-linear feature matching requirements can be met by neural network. A hierarchical order of the neural network model validation method is carried out, the actual system behavior will be classified as one of model after trained and the model credibility also will be assessed, the experiment result shows that this method is feasible.
Keywords :
aerospace computing; aircraft; image matching; neural nets; object recognition; aircraft object recognition model; neural network model validation method; neural networks; nonlinear feature matching requirements; Aerospace electronics; Aircraft; Atmospheric modeling; Biological neural networks; Data models; Mathematical model; Target recognition; aircraft object recognition model; neural network; validation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.330
Filename :
6187851
Link To Document :
بازگشت