DocumentCode :
347651
Title :
Simulation of correlated intensity SAR images
Author :
Bustos, Oscar H. ; Flessia, A.G. ; Frery, Alejandro C.
Author_Institution :
Fac. de Matematica Astron. y Fisica, Univ. Ciudad, Cordoba, Argentina
fYear :
1999
fDate :
1999
Firstpage :
317
Lastpage :
326
Abstract :
This paper discusses some methods already available for the simulation of correlated heterogeneous targets in synthetic aperture radar (SAR) images, and extends one of these methods. This new technique is based on the use of a correlation mask and Gaussian random variables, in order to obtain spatially dependent Gamma deviates. Its theoretical properties are presented, along with an algorithm. These Gamma random variables, in turn, allow the obtainment of correlated 𝒦 deviates
Keywords :
Gaussian noise; correlation methods; gamma distribution; radar imaging; radar target recognition; radar theory; radar tracking; simulation; synthetic aperture radar; target tracking; Gamma random variables; Gaussian random variables; correlated 𝒦 deviates; correlated heterogeneous targets; correlated-intensity SAR image simulation; correlation mask; spatially dependent Gamma deviates; synthetic aperture radar; Random variables; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics and Image Processing, 1999. Proceedings. XII Brazilian Symposium on
Conference_Location :
Campinas
Print_ISBN :
0-7695-0481-7
Type :
conf
DOI :
10.1109/SIBGRA.1999.805741
Filename :
805741
Link To Document :
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