Objects recognition in aerial photographs with neural networks

Author

Largeron, C. ; Lamure, M. ; Nicoloyannis, N.

Author_Institution

Lyon Univ., Villeurbanne, France

fYear

1994

fDate

29 Nov-2 Dec 1994

Firstpage

95

Lastpage

99

Abstract

The paper presents a part of a work concerning cadaster updating from aerial color photographs. The aim is to transmit to a database symbolic information about objects detected in the images. We use neural networks to give each object a label. We proceed in two major steps. In the first step, we send basic information about the three bands green, red and blue to specialized networks. Each of those networks is devoted to recognizing one kind of object. In the second step, we process a method to break ties, if any, in view to give each object one label. That procedure is tested on a sample including 335 objects

Keywords

image recognition; learning (artificial intelligence); object detection; object recognition; photography; aerial photographs; blue band; cadaster updating; database; detected objects; green band; images; label; neural networks; object recognition; red band; specialized networks; symbolic information; Data mining; Image color analysis; Image databases; Intelligent networks; Measurement standards; Network topology; Neural networks; Object detection; Object recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-2404-8

Type

conf

DOI

10.1109/ANZIIS.1994.396942

Filename

396942