Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images

Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2014 Journal of Artificial Intelligence and Soft Computing Research  
In this paper, the detection of mines or other objects on the seabed from multiple side-scan sonar views is considered. Two frameworks are provided for this kind of classification. The first framework is based upon the Dempster–Shafer (DS) concept of fusion from a single-view kernel-based classifier and the second framework is based upon the concepts of multi-instance classifiers. Moreover, we consider the class imbalance problem which is always presents in sonar image recognition. Our
more » ... tal results show that both of the presented frameworks can be used in mine-like object classification and the presented methods for multi-instance class imbalanced problem are also effective in such classification.
doi:10.1515/jaiscr-2015-0004 fatcat:lglqmlgpmnhxleu3hsaunoysgq