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大间距地震数据重建方法研究 被引量：11

The study of reconstruction of large gap seismic data
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摘要 介绍了一种基于稀疏约束最小二乘方法的大间距地震道数据重建方法,通过对大间距地震数据空间加滑动窗口,对每个窗口的数据结果采用预测误差算子计算加权系数进行加权叠加处理而得到空道的结果,通过试验表明,该方法能够用来进行大间距地震道数据的重建. In this paper, wo show a method to reconstruct large gap seismic data based on sparse constraint least square method. The large sampled data were divided into many spatial windows and then we reconstruct it in each window and stack the outcomes by the weighted method. The result show that the method can be used to reconstruction large gap seismic data.
作者 孟小红 刘国峰 周建军
机构地区 地质过程与矿产资源国客重点实验室和地下信息探测技术与仪器教育总重点实验室
出处 《地球物理学进展》 CSCD 北大核心 2006年第3期687-691,共5页 Progress in Geophysics
基金 国家自然科学基金(项目号:40274042) 地球探测与信息技术北京市重点学科联合资助
关键词 数据重建 外推 预测误差算子 reconstruction, extrapolation, predictive error operator
分类号 P315 [天文地球—地震学]
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参考文献14

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二级参考文献20

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共引文献60

同被引文献239

引证文献11

二级引证文献137

地球物理学进展
2006年 第3期

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