DocumentCode
250025
Title
Structure preserving bilateral filtering for PolSAR data
Author
Xuezhi Yang ; Ming Ye ; Xiu Wu ; Zhao Yang
Author_Institution
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
5846
Lastpage
5850
Abstract
This paper proposes a structure preserving bilateral filtering (SPBF) for Polarimetric SAR (PolSAR) image. By adopting the edge structural characteristics and surface scattering features, the performance of filter is improved and the loss of structure is reduced. To begin with, the edge direction is determined by edge templates and an adaptive direction window is selected in span image. Then each scattering mechanism of the pixel is attained by Freeman-Durden decomposition. The surface scattering map is obtained by statistic distribution characteristics of the polarimetric data. Finally, the filtering mask, combining the cluster map with adapted direction window, is introduced for an improved bilateral filtering. Experiments illustrate the effectiveness of the proposed method. The speckle is efficiently reduced and the image edge, strong point target and polarimetric scattering characteristics can be further preserved.
Keywords
edge detection; electromagnetic wave scattering; feature extraction; filtering theory; radar imaging; radar polarimetry; statistical distributions; synthetic aperture radar; Freeman-Durden decomposition; PolSAR data; SPBF; adaptive direction window selection; cluster map; edge direction; edge structural characteristics; edge templates; filtering mask; pixel scattering mechanism; polarimetric SAR image; statistic distribution characteristics; statistic surface scattering map; structure loss reduction; structure preserving bilateral filtering; surface scattering features; Covariance matrices; Entropy; Filtering; Image edge detection; Scattering; Speckle; Synthetic aperture radar; Polarimetric SAR; bilateral filtering; scattering mechanism; structure preserving;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7026181
Filename
7026181
Link To Document