DocumentCode
2662713
Title
Multidimensional speckle noise reduction in synthetic aperture radar images
Author
López-Martínez, Carlos ; Fàbregas, Xavier
Author_Institution
Univ. Polytech. de Catalunya (UPC), Barcelona
fYear
2007
fDate
23-28 July 2007
Firstpage
176
Lastpage
179
Abstract
A new approach to filter speckle noise in multidimensional SAR data, based on the multiplicative-additive speckle noise model, is presented. This approach is based on processing the elements of the sample covariance matrix differently, according to the complex correlation coefficient. As it is demonstrated with experimental PolSAR data, the filter does not produce a loss of information, but an improvement of the capabilities to filter speckle noise.
Keywords
covariance matrices; geophysical techniques; image denoising; synthetic aperture radar; PolSAR data; Synthetic Aperture Radar images; correlation coefficient; covariance matrix elements processing; multidimensional SAR data; multiplicative-additive speckle noise model; speckle noise filtering; Coherence; Covariance matrix; Information filtering; Information filters; Multidimensional systems; Noise reduction; Remote sensing; Speckle; Synthetic aperture radar; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4422758
Filename
4422758
Link To Document