Title :
Multidimensional speckle noise reduction in synthetic aperture radar images
Author :
López-Martínez, Carlos ; Fàbregas, Xavier
Author_Institution :
Univ. Polytech. de Catalunya (UPC), Barcelona
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;
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
DOI :
10.1109/IGARSS.2007.4422758
