DocumentCode :
2107856
Title :
Soft morphology and Bayesian reconstruction for SAR image filtering
Author :
Stringa, Elena ; Smits, Paul C.
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1158
Abstract :
In this paper we present a morphological operator based on the statistical generalization of soft morphological operators. We are showing that the proposed operator can assume the behaviour of several morphological and linear filters depending on the parameter setting. In this paper, we are showing the application of the proposed operator to SAR images and we are presenting a comparison with the results obtained with the Lee filter
Keywords :
Bayes methods; geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; Bayes method; Bayesian reconstruction; Lee filter; SAR image filtering; geophysical measurement technique; image reconstruction; land surface; linear filters; morphological filters; morphological operator; radar imaging; radar remote sensing; soft morphological operator; soft morphology; statistical generalization; terrain mapping; Adaptive optics; Bayesian methods; Filtering; Image reconstruction; Informatics; Morphology; Nonlinear filters; Optical filters; Safety; Speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
Type :
conf
DOI :
10.1109/IGARSS.2001.976777
Filename :
976777
Link To Document :
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