DocumentCode :
3026082
Title :
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
Link To Document :
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