A method to simulate synthetic aperture sonar images with parameterized autocorrelation functions

J. Tory Cobb; K. Clint Slatton; Jose Principe

doi:10.1117/12.851110

29 April 2010 A method to simulate synthetic aperture sonar images with parameterized autocorrelation functions

J. Tory Cobb, K. Clint Slatton, Jose Principe

Proceedings Volume 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV; 76640Y (2010) https://doi.org/10.1117/12.851110
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

J. Tory Cobb, K. Clint Slatton, and Jose Principe "A method to simulate synthetic aperture sonar images with parameterized autocorrelation functions", Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 76640Y (29 April 2010); https://doi.org/10.1117/12.851110

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