A forward looking infrared sensor for landmine detection that incorporates a novel method of identifying regions of interest and a fuzzy inference system

Author

Nelsen, B.N.

Author_Institution

Geo-Centers Inc., Newton Centre, MA

fYear

1999

fDate

36342

Firstpage

408

Lastpage

412

Abstract

Methods used to display image data, define regions of interest in the images and to automatically classify targets in a forward looking infrared sensor are described in this paper. The forward looking infrared sensor is used in conjunction with a vehicular based landmine detection system. Specific examples of performance attained on mine calibration lanes both with and without a fuzzy inference system classifier are provided. These results clearly demonstrate the efficacy and advantages of this classification approach

Keywords

buried object detection; fuzzy logic; image classification; image sensors; inference mechanisms; infrared imaging; military computing; uncertainty handling; forward looking infrared sensor; fuzzy inference system; image classification; image data display; landmine detection; mine calibration lanes; performance; regions of interest; Cameras; Displays; Dynamic range; Image resolution; Infrared detectors; Infrared image sensors; Infrared sensors; Landmine detection; Target recognition; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Conference_Location

New York, NY

Print_ISBN

0-7803-5211-4

Type

conf

DOI

10.1109/NAFIPS.1999.781724

Filename

781724