title: Comparison of different classification algorithms for underwater target discrimination.
abstract: Classification of underwater targets from the acoustic backscattered signals is considered here. Several different classification algorithms are tested and benchmarked not only for their performance but also to gain insight to the properties of the feature space. Results on a wideband 80-kHz acoustic backscattered data set collected for six different objects are presented in terms of the receiver operating characteristic (ROC) and robustness of the classifiers wrt reverberation.
authors.affiliation: Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA.
authors.forename: Donghui
authors.initials: D
authors.lastname: Li
authors.forename: Mahmood R
authors.initials: MR
authors.lastname: Azimi-Sadjadi
authors.forename: Marc
authors.initials: M
authors.lastname: Robinson
mesh_terms: D000161:Acoustic Stimulation / Q000379:methods; D000465:Algorithms; D004192:Discrimination, Psychological; D016011:Normal Distribution