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An automated change detection approach for mine recognition using sidescan sonar data
2009
2009 IEEE International Conference on Systems, Man and Cybernetics
This paper presents a new automated approach for the mine detection and classification (MDC) problem based on change detection techniques using sidescan sonar images. Adopting change detection techniques benefits this approach to recognize mine targets without training data or prior assumption required in traditional detection methods. In this approach, post-classification comparison is designed to detect the changes and the statistical information of pixel distribution is employed for change
doi:10.1109/icsmc.2009.5346885
dblp:conf/smc/WeiLM09
fatcat:kvsufwcylzgijkb6u6vlizkqsa