QQ客服 官方微博 反馈留言

	Higher-order-statistics and supertrace-based coherence-estimation algorithm
	Lu, WK ; Li, YD ; Zhang, SW ; Xia, HQ ; Li, YD
	2010-05-06 ; 2010-05-06
关键词	Geochemistry & Geophysics
中文摘要	This article proposes a new higher-order-statistics-based coherence-estimation algorithm, which we denote as HOSC. Unlike the traditional crosscorrelation-based C1 coherence algorithm, which sequentially estimates correlation in the inline and crossline directions and uses their geometric mean as a coherence estimate at the analysis point, our method exploits three seismic traces simultaneously to calculate a 2D slice of their normalized fourth-order moment with one zero-lag correlation and then searches for the maximum correlation point on the 2D slice as the coherence estimate. To include more seismic traces in the coherence estimation, we introduce a supertrace technique that constructs a new data cube by rearranging several adjacent seismic traces into a single supertrace. Combining our supertrace technique with the C1 and HOSC algorithms, we obtain two efficient coherence-estimation algorithms, which we call ST-C1 and ST-HOSC. Application results on the real data set show that our algorithms are able to reveal more details about the structural and stratigraphic features than the traditional C1 algorithm, yet still preserve its computational efficiency.
语种	英语 ; 英语
出版者	SOC EXPLORATION GEOPHYSICISTS ; TULSA ; 8801 S YALE ST, TULSA, OK 74137 USA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9228]
专题	清华大学
推荐引用方式 GB/T 7714	Lu, WK,Li, YD,Zhang, SW,et al. Higher-order-statistics and supertrace-based coherence-estimation algorithm[J],2010, 2010.
APA	Lu, WK,Li, YD,Zhang, SW,Xia, HQ,&Li, YD.(2010).Higher-order-statistics and supertrace-based coherence-estimation algorithm..
MLA	Lu, WK,et al."Higher-order-statistics and supertrace-based coherence-estimation algorithm".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。