Title :
Polarimetric SAR Speckle Filtering and the Extended Sigma Filter
Author :
Jong-Sen Lee ; Ainsworth, Thomas L. ; Yanting Wang ; Kun-Shan Chen
Author_Institution :
Remote Sensing Div., Naval Res. Lab., Washington, DC, USA
Abstract :
The advancement of synthetic aperture radar (SAR) technology with high-resolution and quad-polarization data demands better and efficient polarimetric SAR (PolSAR) speckle-filtering algorithms. Two requirements on PolSAR speckle filtering are proposed: 1) speckle filtering should be applied to distributed media only, and strong hard targets should be kept unfiltered; and 2) scattering mechanism preservation should be taken into consideration, in addition to speckle reduction. The purpose of this paper is twofold: 1) to propose an effective algorithm that is an extension of the improved sigma filter developed for single-polarization SAR; and 2) to investigate speckle characteristics and the need for speckle filtering for very high resolution (decimeter) PolSAR data. The proposed filter was specifically developed to account for the aforementioned two requirements. Its effectiveness is demonstrated with Jet Propulsion Laboratory airborne synthetic aperture radar data, and comparisons are made with a boxcar filter, the refined Lee filter, and a Wishart-based nonlocal filter. For very high resolution PolSAR systems, such as the German Aerospace Center F-SAR and Japanese Pi-SAR2, with decimeter spatial resolution, we found that the complex Wishart distribution is still valid to describe PolSAR speckle characteristics of distributed media and that speckle filtering may be needed depending on the size of objects to be analyzed. F-SAR X-band data with 25-cm resolution is used for illustration.
Keywords :
geophysical signal processing; radar polarimetry; remote sensing by radar; speckle; synthetic aperture radar; German Aerospace Center F-SAR; Japanese Pi-SAR2; Jet Propulsion Laboratory; PolSAR; Wishart based nonlocal filter; boxcar filter; extended sigma filter; high resolution data; polarimetric SAR speckle filtering; quad polarization data; refined Lee filter; scattering mechanism preservation; synthetic aperture radar technology; Covariance matrices; Filtering; Media; Scattering; Spatial resolution; Speckle; Synthetic aperture radar; Polarimetric SAR (PolSAR); speckle reduction; very high resolution SAR;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2014.2335114