DocumentCode :
411293
Title :
Improvement research on texture-detection in full-polarization SAR image filter
Author :
Xiuqing, Liu ; Zhen, Yang ; Ruliang, Yang
Author_Institution :
Inst. of Electron., Chinese Acad. of Sci., Beijing, China
Volume :
6
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
3973
Abstract :
The Polarimetric Whitening Filter (PWF) method for speckle reduction in polarimetric synthetic aperture radar (SAR) is stated with some traditional covariance matrix parameter estimate methods. Aimed at their defects in parameter estimation, an enhanced auto-adaptive edge-detection method for parameter estimating is presented. Because of the lack of point target and line detection in the above-mentioned methods, a new parameter estimation method is then introduced. Finally, results of the above-mentioned methods applied in PWF are submitted. Detail analyses and comparisons are also given. It is proved that the new parameter estimation method is the most robust.
Keywords :
filtering theory; geophysical signal processing; image texture; radar imaging; radar polarimetry; synthetic aperture radar; autoadaptive edge-detection method; covariance matrix parameter estimate method; full-polarization SAR image filter; polarimetric synthetic aperture radar; polarimetric whitening filter; texture-detection; Covariance matrix; Filters; Image edge detection; Parameter estimation; Polarimetric synthetic aperture radar; Radar detection; Robustness; Speckle; State estimation; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1295332
Filename :
1295332
Link To Document :
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