PolSAR image filtering based on feature detection using the wavelet transform

Author

Farage, Grégory ; Foucher, Samuel ; Bénié, Goze B.

Author_Institution

Univ. of Sherbrooke, Sherbrooke

fYear

2007

fDate

23-28 July 2007

Firstpage

2648

Lastpage

2652

Abstract

This paper elucidates a new approach for speckle reduction in polarimetric synthetic aperture radar ("PolSAR") images based on the stationary wavelet transform. Noisy wavelet coefficients are thresholded using an entropic thresholding technique. Principal Component Analysis and Sum of Squared Coefficients methods are used to detect significant coefficients based on the entire polarimetric covariance matrix.

Keywords

covariance matrices; feature extraction; geophysical techniques; image denoising; principal component analysis; radar polarimetry; synthetic aperture radar; wavelet transforms; PolSAR image filtering; Principal Component Analysis; Sum of Squared Coefficients methods; entropic thresholding technique; feature detection; noisy wavelet coefficients; polarimetric covariance matrix; polarimetric synthetic aperture radar images; speckle reduction; wavelet transform; Computer vision; Covariance matrix; Filtering; Filters; Image edge detection; Multiresolution analysis; Principal component analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms; PolSAR; entropic thresholding; speckle filtering; wavelet;

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.2007.4423389

Filename

4423389