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