Title :
Modified polarimetric whitening filter for polarimetric SAR data
Author :
Wentao An ; Mingsen Lin ; Chunhua Xie ; Guangyi Zhou ; Xinzhe Yuan
Author_Institution :
Nat. Satellite Ocean Applic. Service, Beijing, China
Abstract :
To preserve the power information in the output of polarimetric whitening filter (PWF), a modified PWF is proposed for polarimetric synthetic aperture radar (PolSAR) imagery. Besides minimizing the standard deviation to mean ratio, the modified PWF also requires its output closest to the original polarimetric vector in a minimum mean-square error sense. This principle is consistent with that of the minimum mean-square error covariance shaping. A real PolSAR image derived by SIR-C is applied for the illustration. The experimental results demonstrate that the speckle reduction performance of PWF is enhanced by the proposed modification and the power information is well preserved in the output of the modified PWF.
Keywords :
geophysical image processing; radar imaging; radar polarimetry; remote sensing by radar; speckle; synthetic aperture radar; PWF speckle reduction performance; PoISAR imagery; minimum mean-square error covariance shaping; minimum mean-square error sense; modified polarimetric whitening filter; original polarimetric vector; polarimetric SAR data; power information; synthetic aperture radar; Abstracts; Artificial intelligence; Radiometry; Speckle; Polarimetric whitening filter; radar polarimetry; synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723324