Classification of Seafloor Habitats Using Genetic Programming

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 developing a different fitness function and dividing the multiple-class problem into several two-class problems, we were able to improve the results presented in a previously published work, providing a better 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.

• Type: Conference
• Year: 2008
• Where: EVOW
• Authors: Sara Silva, Yao-Ting Tseng
• Keywords: Acoustic Backscatter Data, Artificial Intelligence, Echo Sounder, EVOW 2008, Seafloor Types