Title :
An MRF based technique for speckle reduction in SAR images
Author :
Elia, C.D. ; Ferraiuolo, G. ; Pascazio, V. ; Schirnzi, G.
Author_Institution :
DAEIMI, Universita di Cassino
Abstract :
SAR images are affected by speckle that affects radiometric resolution and class discrimination capabilities. Recently, different speckle reduction techniques based on maximum a posteriori (MAP) estimation have been proven to have very good performances. These techniques are based on the introduction of an a priori statistical model of the speckle free image to be estimated. We propose a MAP method using more than one sub-band filtered intensity images and a Markov random field (MRF) a priori model. The method has been experimented on simulated and real images
Keywords :
Markov processes; geophysical techniques; image enhancement; image resolution; maximum likelihood estimation; radar imaging; radiometry; remote sensing; synthetic aperture radar; MRF technique; Markov random field model; SAR images; a priori statistical model; class discrimination; maximum a posteriori estimation; radiometric resolution; speckle reduction; sub band filtered intensity images; synthetic aperture radar; Filtering; Image resolution; Interference; Markov random fields; Pixel; Radar scattering; Radiometry; Speckle; Synthetic aperture radar; Telecommunications;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370064
