DocumentCode :
2689733
Title :
Speckle Filtering of Dual-Polarization and Polarimetric SAR Data based on Improved Sigma Filter
Author :
Lee, Jong-Sen ; Ainsworth, Thomas L. ; Chen, Kun-Shan
Author_Institution :
Remote Sensing Div., Naval Res. Lab., Washington, DC
Volume :
4
fYear :
2008
fDate :
7-11 July 2008
Abstract :
The advancement of SAR technology with high resolution and multiple polarization data demands better and efficient speckle filtering algorithms. In this paper, we developed an effective speckle filtering algorithm for dual-pol and fully polarimetric high resolution data. The proposed algorithm is effective and computational efficient based on the improved sigma filter ALOS/PALSAR and JPL AIRSAR data were used for demonstration.
Keywords :
radar polarimetry; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; ALOS/PALSAR data; California; JPL AIRSAR data; San Francisco; USA; dual-polarization SAR data; polarimetric SAR data; sigma filter; speckle filtering algorithm; Computational efficiency; Covariance matrix; Filtering algorithms; Filters; Laboratories; Polarization; Probability density function; Rayleigh scattering; Remote sensing; Speckle; Dual Polarization; Polarimetric SAR; Spaceborne SAR; Speckle reduction;
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.2008.4779646
Filename :
4779646
Link To Document :
بازگشت