Scattering-model-based speckle filtering of polarimetric SAR data

被引:141
作者
Lee, JS [1 ]
Grunes, MR
Schuler, DL
Pottier, E
Ferro-Famil, L
机构
[1] USN, Res Lab, Remoting Sensing Div, Washington, DC 20375 USA
[2] Univ Rennes 1, Image & Remote Sensing Div, IETR UMR CNRS 6164, F-35042 Rennes, France
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2006年 / 44卷 / 01期
关键词
polarimetric synthetic aperture radar (POLSAR); radar polarimetry; speckle filtering;
D O I
10.1109/TGRS.2005.859338
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A new concept in polarimetric synthetic aperture radar (POLSAR) speckle filtering that preserves the dominant scattering mechanism of each pixel is proposed in this paper. The basic principle is to select pixels of the same scattering characteristics to be included in the filtering process. To achieve this, the algorithm first applies the Freeman and Durden decomposition to separate pixels into three dominant scattering categories: surface, double bounce, and volume, and then unsupervised classification is applied. Speckle filtering is performed using the classification map as a mask. A single-look or multilook pixel centered in a 9 x 9 window is filtered by including only pixels in the same and two neighboring classes from the same scattering category. This filter is effective in speckle reduction, while perfectly preserving strong point target signatures, and retains edges, linear, and curved features in thePOLSAR data. The effect of speckle filtering on scattering characteristics, such as entropy, anisotropy, and alpha angle, will be discussed.
引用
收藏
页码:176 / 187
页数:12
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