Title :
Turbo Speckle Filtering applied to PolSAR Data
Author :
Farage, Grégory ; Foucher, Samuel ; López-Martínez, Carlos ; Bénié, Goze B.
Author_Institution :
Canada; Comput. Res. Inst. of Montreal, Univ. of Sherbrooke, Montreal, QC
Abstract :
A new approach for speckle reduction in polarimetric synthetic aperture radar (PolSAR) images based on the turbo iterative principle is proposed. The turbo iterative algorithm shows high performances due to the propagation of the information between two complementary filters. One filter can boost up the results of the other by processing its residue image and retrieving valuable information in the noise subspace.
Keywords :
geophysical signal processing; geophysical techniques; image restoration; iterative methods; radar polarimetry; speckle; synthetic aperture radar; turbo codes; PolSAR data; noise subspace; polarimetric synthetic aperture radar; speckle reduction; turbo iterative algorithm; turbo speckle filtering; Covariance matrix; Image retrieval; Information filtering; Information filters; Information retrieval; Iterative algorithms; Iterative decoding; Iterative methods; Speckle; Turbo codes; PolSAR; Turbo principle; speckle filtering;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779647
