Title :
Data fusion for vehicle-borne mine detection
Author :
McMichael, Daniel W.
Author_Institution :
Centre for Sensor Signal & Inf. Process., Adelaide, SA, Australia
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;
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
Print_ISBN :
0-85296-669-5
DOI :
10.1049/cp:19961102
