Title :
Swathe seabed classification
Author :
Pace, N.G. ; Gao, H.
Author_Institution :
Sch. of Phys., Bath Univ., UK
fDate :
4/1/1988 12:00:00 AM
Abstract :
The degree to which different seabed types may be discriminated using features of the power spectrum of the signals backscattered from the seabed, in a side-scan mode, is evaluated. The statistics derived from the data samples considered suggest that the probability of correctly classifying the six seabed types (sand, mud, clay, gravel, stones, rock) is in excess of 97% using the spectral features that are defined
Keywords :
backscatter; oceanographic techniques; oceanography; probability; sonar; clay; gravel; mud; oceanography; power spectrum; probability; rock; sand; side-scan mode; statistics; stones; swathe seabed classification; Acoustic beams; Electron optics; Geophysical signal processing; Geophysics computing; Optical computing; Optical control; Optical diffraction; Optical signal processing; Photodiodes; Sea surface;
Journal_Title :
Oceanic Engineering, IEEE Journal of
