DocumentCode
3365244
Title
Data fusion for vehicle-borne mine detection
Author
McMichael, Daniel W.
Author_Institution
Centre for Sensor Signal & Inf. Process., Adelaide, SA, Australia
fYear
1996
fDate
7-9 Oct 1996
Firstpage
167
Lastpage
171
Abstract
This paper introduces a statistically well-founded evaluation of the fusion of dual-band infrared and tri-band visual imagery for detecting buried land mines using real-data. A unified Bayesian framework is presented for representing and inferring from data captured by multiple sensors of scenes that may contain buried land mines
Keywords
weapons; buried land mines detection; data capture; data fusion; infrared imagery; multiple sensors; tri-band visual imagery; unified Bayesian framework; vehicle-borne mine detection;
fLanguage
English
Publisher
iet
Conference_Titel
The Detection of Abandoned Land Mines: A Humanitarian Imperative Seeking a Technical Solution, EUREL International Conference on (Conf. Publ. No. 431)
Conference_Location
Edinburgh
ISSN
0537-9989
Print_ISBN
0-85296-669-5
Type
conf
DOI
10.1049/cp:19961102
Filename
646412
Link To Document