DocumentCode :
2475805
Title :
Vehicle detection on aerial images: a structural approach
Author :
Ruskoné, Renaud ; Guigues, Laurent ; Airault, Sylvain ; Jamet, Olivier
Author_Institution :
Lab. MATIS, Inst. Geographique National, Saint-Mande, France
Volume :
3
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
900
Abstract :
We describe here a vehicle detection method on aerial images. This method exploits a hierarchical modelling of our data. Among the different recognition methods that we have considered we choose a connectionist approach because of its generalization property. This paper justifies the choice of such an approach, and brings the proof of the efficiency of our structural model
Keywords :
generalisation (artificial intelligence); multilayer perceptrons; object recognition; probability; remote sensing; road vehicles; aerial images; generalization; hierarchical modelling; multilayer perceptron; neural networks; pattern recognition; probability; road vehicle detection; structural model; Constitution; Data mining; Electronic mail; Humans; Image databases; Neural networks; Road vehicles; Target tracking; Urban areas; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.547298
Filename :
547298
Link To Document :
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