Knowledge acquisition from aerial images

Author

Ionescu, Dan ; Sasarman, Michael ; Karoui, Badreddine

Author_Institution

Dept. of Electr. Eng., Ottawa Univ., Ont., Canada

fYear

1990

fDate

5-7 Sep 1990

Firstpage

417

Abstract

Determining the position of a surface object from an aerial mobile tracking device is one of the major tasks in the control of airborne automatic-guided vehicles (AGVs). A knowledge acquisition algorithm that is able to classify roads in serial images is proposed. The information is acquired by encoding object features, which are then classified through a rule-based system in a database. To aid in the segmentation a generalized chain coding algorithm is employed. The approach presented represents the information extraction module of a vision-driven intelligent control system used to identify and follow objects of interest (roads) in an airborne video image

Keywords

computer vision; knowledge acquisition; knowledge based systems; aerial images; aerial mobile tracking device; airborne automatic-guided vehicles; airborne video image; chain coding algorithm; intelligent control system; knowledge acquisition; rule-based system; segmentation; Automatic control; Data mining; Encoding; Image databases; Image segmentation; Knowledge acquisition; Knowledge based systems; Roads; Spatial databases; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on

Conference_Location

Philadelphia, PA

ISSN

2158-9860

Print_ISBN

0-8186-2108-7

Type

conf

DOI

10.1109/ISIC.1990.128490

Filename

128490