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

Volume

4

fYear

2008

fDate

7-11 July 2008

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.2008.4779647

Filename

4779647