DocumentCode :
2621265
Title :
Non-additive noise and optimal correlation
Author :
Réfrégier, Philippe ; Goudail, Franqois ; Gaidon, Thierry ; Guillaume, Mireille
Author_Institution :
Lab. Signal et Image, ENSPM, Marseille, France
Volume :
3
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
639
Abstract :
The optimal detection and location of a target in a scene in presence of non-additive noise is studied. The optimal processors in the maximum likelihood sense are determined for different white or correlated noise statistics. It is shown that the required computations are mainly correlations, and that there is no need of iterative methods
Keywords :
Gaussian noise; correlation methods; image processing; maximum likelihood detection; maximum likelihood estimation; target tracking; white noise; correlated noise; image processing; maximum likelihood sense; noise statistics; non-additive noise; optimal correlation; target detection; target location; white noise; Additive noise; Background noise; Detectors; Layout; Matched filters; Maximum likelihood detection; Optical filters; Shape; Statistics; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560576
Filename :
560576
Link To Document :
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