Classification of seafloor habitats using genetic programming

被引：0
|
作者：
Silva, Sara [1 ]
Tseng, Yao-Ting [2 ]
机构：
[1] Univ Coimbra, Dept Informat Engn, CISUC, Polo 2, P-3030 Coimbra, Portugal
[2] Curtin Univ Technol, Ctr Marine Sci & Technol, Perth, WA WA 6845, Australia
来源：
APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS | 2008年 / 4974卷
关键词：
genetic programming; classification; acoustic characterization; seafloor habitats;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we use Genetic Programming for the classification of different seafloor habitats, based on the acoustic backscatter data from an echo sounder. By dividing the multiple-class problem into several two-class problems, we were able to produce nearly perfect results, providing total discrimination between most of the seafloor types used in this study. We discuss the quality of these results and provide ideas to further improve the classification performance.
引用
收藏
页码：315 / +
页数：2
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