Title :
Combining Savitzky-Golay filters and median filters for reducing speckle noise in SAR images
Author :
Chinrungrueng, Chedsada
Author_Institution :
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
This paper describes a new filter developed for reducing speckle noise in SAR images. The new filter, referred to as the Savitzky-Golay median hybrid filter, is a two-dimensional extension of the one-dimensional FIR-median hybrid filter. It operates by performing a series of two-dimensional polynomial least squares fitting, and defines its output as the median of the results obtained from such least squares fits. The polynomial least squares fitting performed in the new filter is efficiently implemented based on the simplified procedure developed in the Savitzky-Golay filter. The performance of the proposed filter is compared with that of the median filter, the Lee filter, and the Frost filter in reducing speckle noise of a synthetic image and of a real synthetic aperture radar (SAR) image.
Keywords :
least squares approximations; median filters; radar imaging; speckle; synthetic aperture radar; Frost filter; Lee filter; SAR images; Savitzky-Golay filters; one dimensional FIR median hybrid filter; speckle noise reduction; synthetic aperture radar images; synthetic image; two dimensional polynomial least squares fitting; Adaptive filters; Filtering; Finite impulse response filter; Least squares methods; Low pass filters; Noise reduction; Noise shaping; Polynomials; Speckle; Synthetic aperture radar;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1243895