seafloor classification; bottom reflection loss; Hanyang University Bottom Reflection Loss model; fuzzy logic; membership function; Fuzzy Inference System
Issue Date
2004-05
Publisher
한국음향학회
Citation
한국음향학회지, v. 23, No. 4, Page. 296-302
Abstract
Acoustic experiments are performed for a seafloor classification from 19 May to 25 May 2003. The six different sites of bottom composition are settled and the bottom reflection losses with frequencies (30, 50, 80. 100, 120 kHz) are measured. Sediment samples were collected using gravity core and the sample was extracted for grain size analysis. The fuzzy logic is used to classify the seabed. In the fuzzy logic. Bottom 1083 model of frequency dependence is used as the input membership functions and the output membership functions are composed of the Wentworth grain size of the bottom. The possibility of the seafloor classification is verified comparing the inversed mean grain size using fuzzy logic with the results of the coring.