DocumentCode
1986300
Title
Improving PWF Method of Despeckle in Polarimetric SAR Image by Fusion Based on Nonsubsampled Contourlet Transform
Author
De-xiang, Zhang ; Xiao-pei, Wu ; Qing-wei, Gao ; Xiao-jing, Guo
Author_Institution
Key Lab. Of Intell. Comput. & Signal, Process. of Anhui Univ., Hefei
Volume
1
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
328
Lastpage
331
Abstract
A novel and efficient improving PWF method of speckle reduction in polarimetric SAR image by fusion based on nonsubsampled contourlet transform is proposed. First, the three complex elements (HH, HV, and VV) of the polarimetric scattering matrix were decorrelated to form a new elements matrix. Then we show that the sub-band decompositions of the three elements using nonsubsampled contourlet transform, and fusion factor is applied to the decomposed directional high-frequency coefficients to create new sub-band coefficients. Finally, we process and reconstruct multi-resolution contourlet coefficients according to the PWF method. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can achieve an excellent balance between suppresses speckle effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained.
Keywords
geophysical signal processing; image fusion; image texture; matrix algebra; radar imaging; speckle; synthetic aperture radar; transforms; PWF method; multiresolution contourlet coefficients; nonsubsampled contourlet transform; polarimetric SAR image; polarimetric scattering matrix; speckle reduction; Discrete transforms; Discrete wavelet transforms; Filter bank; Image edge detection; Image processing; Image texture analysis; Matrix decomposition; Noise reduction; Signal processing algorithms; Speckle; PWF; despeckling; fusion; nonsubsampled contourlet transform; polarimetric SAR image;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.28
Filename
5070163
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