自适应顺序统计滤波在地震资料处理中的应用
|
摘要
本文介绍了基于信号局部统计性质的、能同时压制加性高斯噪声和脉冲噪声的自适应顺序统计滤波器的基本原理。为了进一步强化滤波器保护同相轴细节的能力,文中将自适应顺序统计滤波器与加权中值滤波器相结合,针对地震资料实际情况,分别对地震剖面噪声方差的估计、自适应系数的计算以及加权中值滤波的权的设计等进行了研究,并研制了相应的软件;用实际资料对该方法进行检验,结果证明该方法有效而实用。
The paper introduced the basic principles of adaptive L-order statistic filter based on local statistic properties of signals and the features of suppression of Gaussian noise and pulse disturbance. In order to strengthen the capability of filter protecting the detail of seismic events, the paper combined the adaptive L-order statistic filter with weighted mediate filter. To deal with real seismic data, the paper also studied estimation of noise variance on seismic sections, computation of adaptive coefficients and design of weights in weighted mediate filtering respectively. By using developed as- sociated software, the test of the method by real data showed the method is effective and practical.
The paper introduced the basic principles of adaptive L-order statistic filter based on local statistic properties of signals and the features of suppression of Gaussian noise and pulse disturbance. In order to strengthen the capability of filter protecting the detail of seismic events, the paper combined the adaptive L-order statistic filter with weighted mediate filter. To deal with real seismic data, the paper also studied estimation of noise variance on seismic sections, computation of adaptive coefficients and design of weights in weighted mediate filtering respectively. By using developed as- sociated software, the test of the method by real data showed the method is effective and practical.
引文
[1] Lee J S. Digital image enhancement and noise filtering by use of local statistics. IEEE Trans Pattern anal Much Intell, 1980,PAMI-2(2): 165-168
[2] Melsa J L and Cohn D L. Decision and Estimation Theory. McGraw-Hill,New York,1978
[3] Bovik A C et al. A generalization of median filtering u- sing combinations of order statics, IEEE Trans On ASSP, 1983,31(6):1342-1349
[4]宋焕生等．加权顺序统计滤波器的新的表示与优化算法．西安电子科技大学学报,2004,31(6):886-890
[5] Palmieri F and Boncelet C G. Ll-filters -A new class of order statistics filters. IEEE Trans on ASSP, 1989,37 (5):691-701
[6] Sun T et al. Adaptive L-filters with applications in signal and image processing. Signal Processing, 1994,38 (3):331-344
[7] Pitas I and Venetsanopoulos A N. Adaptive filters based on order statistics. IEEE Trans on ASSP, 1991,39(1):518-522
[8] Nieweglowski J et al. Weighted medians- positive boolean functions conversion algorithms. Signal Processing, 1993,34(2): 149-161
[9] Yang R et al. Fast algorithms for analyzing and designing weighted median filters. Signal Processing ,1995, 41(2):135-152
[2] Melsa J L and Cohn D L. Decision and Estimation Theory. McGraw-Hill,New York,1978
[3] Bovik A C et al. A generalization of median filtering u- sing combinations of order statics, IEEE Trans On ASSP, 1983,31(6):1342-1349
[4]宋焕生等．加权顺序统计滤波器的新的表示与优化算法．西安电子科技大学学报,2004,31(6):886-890
[5] Palmieri F and Boncelet C G. Ll-filters -A new class of order statistics filters. IEEE Trans on ASSP, 1989,37 (5):691-701
[6] Sun T et al. Adaptive L-filters with applications in signal and image processing. Signal Processing, 1994,38 (3):331-344
[7] Pitas I and Venetsanopoulos A N. Adaptive filters based on order statistics. IEEE Trans on ASSP, 1991,39(1):518-522
[8] Nieweglowski J et al. Weighted medians- positive boolean functions conversion algorithms. Signal Processing, 1993,34(2): 149-161
[9] Yang R et al. Fast algorithms for analyzing and designing weighted median filters. Signal Processing ,1995, 41(2):135-152
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心