Translator Disclaimer
Paper
17 July 1998 Multisensor combination for vehicle-based mine detection
Author Affiliations +
Abstract
This survey paper presents several different methods for combining multiple mine detection sensors on a vehicle. There are many methods of classifier combination that have been proposed recently that may, more generally, be applied to the problem of sensor fusion. These sensor fusion algorithms include the majority vote, unanimous consensus, thresholded voting, polling methods which utilize heuristic decision rules, the averaged Bayes classifier, applying logistic regression to the outputs of each classifier, and using Dempster-Shafer theory to derive weights for each sensor's vote.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian M. Duston and Chanchal Chatterjee "Multisensor combination for vehicle-based mine detection", Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); https://doi.org/10.1117/12.327108
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
Back to Top