A Method to Simulate Synthetic Aperture Sonar Images with Parameterized Autocorrelation Functions

被引:0
|
作者
Cobb, J. Tory [1 ]
Slatton, K. Clint [2 ]
Principe, Jose [2 ]
机构
[1] USN, Ctr Surface Warfare, 110 Vernon Ave, Panama City, FL USA
[2] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL USA
来源
DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XV | 2010年 / 7664卷
关键词
Synthetic Aperture Sonar; K-Distribution; Parameter Estimation; Autocorrelation Function;
D O I
10.1117/12.851110
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
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.
引用
收藏
页数:9
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