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Proceedings Paper

A method to simulate synthetic aperture sonar images with parameterized autocorrelation functions
Author(s): J. Tory Cobb; K. Clint Slatton; Jose Principe
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Paper Abstract

An approach to simulate synthetic aperture sonar (SAS) images with known autocorrelation functions (ACF) and single-point statistics is presented. ACF models for generating textures with and without periodicities are defined and explained. Simulated textures of these models are compared visually with real SAS image textures. Distortion and degradation of the synthetic textures are examined for various simulation parameter choices.

Paper Details

Date Published: 29 April 2010
PDF: 9 pages
Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 76640Y (29 April 2010); doi: 10.1117/12.851110
Show Author Affiliations
J. Tory Cobb, Naval Surface Warfare Ctr. Panama City Div. (United States)
K. Clint Slatton, Univ. of Florida (United States)
Jose Principe, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 7664:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV
Russell S. Harmon; John H. Holloway Jr.; J. Thomas Broach, Editor(s)

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