DocumentCode :
2268841
Title :
Polarimetric speckle reduction by using multi-texture maximum likelihood method
Author :
Zou, Qi ; Pi, Yiming ; Liu, Guoqing
Author_Institution :
Dept. of Electron. Eng., Univeristy of Electron. Sci. & Technol. of China, Sichuan, China
Volume :
5
fYear :
2000
fDate :
2000
Firstpage :
2287
Abstract :
The reduction of speckle in SAR (synthetic aperture radar) image is the prime problem in SAR image processing. The authors propose a new approach in polarimetric SAR speckle reduction. They estimate simultaneously the texture parameters of multi-polarimetric channels by the method of maximum likelihood under the assumption of multi-texture. This approach preserves the polarimetric properties, reduces the couple between polarimetric channels. They also compare it with the PWF (polarimetric whitening filter)
Keywords :
geophysical signal processing; geophysical techniques; image texture; maximum entropy methods; radar imaging; radar polarimetry; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; SAR; geophysical measurement technique; image processing; image texture; land surface; maximum likelihood; multi-polarimetric channels; multi-texture; multi-texture maximum likelihood method; polarimetric speckle reduction; polarimetric whitening filter; radar polarimetry; radar remote sensing; speckle reduction; synthetic aperture radar; terrain mapping; Covariance matrix; Layout; Maximum likelihood detection; Maximum likelihood estimation; Polarization; Radar imaging; Radar polarimetry; Radar scattering; Speckle; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
Type :
conf
DOI :
10.1109/IGARSS.2000.858384
Filename :
858384
Link To Document :
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