Title :
The polarization SAR filter algorithm based on the maximum SNR
Author :
Ruixia Wang ; Guohua Peng ; Wei Lin
Author_Institution :
Dept. of Appl. Math., Northwestern Polytech. Univ., Xi´an, China
Abstract :
It proposed a fused denoising algorithm of the Polarization SAR image based on maximize signal to noise ratio(SNR). According to meeting the requirements of the maximum SNR at the image filtering, this method made the smallest mean square error as the convergent condition. It filtered and fused for HH and VV directions of the Polarization SAR images respectively. Compared with the traditional Lee filtered algorithm and adaptive threshold algorithm, it was evident that the method did improve the readability of the image and ameliorate image quality.
Keywords :
convergence of numerical methods; filtering theory; image denoising; mean square error methods; radar imaging; synthetic aperture radar; HH directions; Lee filtered algorithm; VV directions; adaptive threshold algorithm; ameliorate image quality; convergent condition; fused denoising algorithm; image filtering; maximum SNR; mean square error; polarization SAR filter algorithm; readability improvement; signal to noise ratio; synthetic aperture radar images; SAR; contourlet transformation; fuse; signal to noise ratio(SNR);
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491603
