Title :
Bergman iteration for SLC SAR image information extraction
Author_Institution :
University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova 17, 2000, Slovenia
fDate :
7/1/2012 12:00:00 AM
Abstract :
This paper presents a Bergman iteration of SLC Synthetic Aperture Radar image despeckling and information extraction. A split Bergman iteration for solving minimization of cost function is presented in this paper and the information extraction using Auto-binomial model is incorporated into the algorithm. Experimental results showed that parameters of ABM well characterize the spatial characteristics of SAR SLC data.
Keywords :
"Synthetic aperture radar","Speckle","Information retrieval","Noise","Cost function","Estimation","Bayesian methods"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2012.6350505
