Comparison of Different Classification Algorithms for Underwater Target Discrimination  

Oleh:

Robinson, M. ; Azimi-Sadjadi, M. R. ; Li, Donghui

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 15 no. 1 (Jan. 2004), page 189-194.
Topik: discrimination; different classification; algorithms; underwater target; discrimination

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.10 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Classification of underwater targets from the acoustic backscattered signals is considered. 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 coll ected for six different objects are presented in terms of the receiver operating characteristic (ROC) and robustness of the classifiers wrt reverberation.

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