Title :
Moment-based method to statistically categorize rock outcrops based on their topographical features
Author :
Roger C. Gauss;Joseph M. Fialkowski;David C. Calvo;Richard Menis;Derek R. Olson;Anthony P. Lyons
Author_Institution :
Acoustics Division, Code 7160, Naval Research Laboratory, Washington, DC 20375-5350, USA
Abstract :
Geomorphological formations on the ocean seafloor are spatially complex objects. Rock outcrops in particular can be spatially compact, and highly anisotropic in their large- and small-scale topographic structure, and represent a significant source of clutter for short-range active sonars operating in shallow water. This paper describes a physical moment-based statistical method for categorizing rock outcrops based on their topographical characteristics, in particular isolating its facet-like features. The correspondence of these features to clutter-generating objects is then substantiated for a short-range, high-frequency shallow-water scenario, where the ensonified area is a fraction of outcrop size, via comparisons with high-fidelity acoustic backscattering predictions.
Keywords :
"Sonar","Data models","Rocks","Acoustics","Clutter","Computational modeling","Scattering"
Conference_Titel :
OCEANS´15 MTS/IEEE Washington