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基于压缩感知的dreamlet域数据重构方法及应用

Keywords: 压缩感知,数据重构,dreamlet域,随机采样,稀疏数据

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Abstract:

?随着压缩感知(cs)理论的完善,逐步发展形成了基于该理论的新的信号处理技术。近年来,在石油地震勘探领域,基于该理论的随机稀疏数据采样、数据重构及规则化和稀疏采样观测系统优化设计等方面的研究取得了重要进展。本文在ru-shanwu博士等提出的dreamlet域数据重构技术基础上,针对实际地震数据在时间和空间上剧烈变化以及存在较强干扰背景情况,通过优化重构参数和流程,对随机稀疏采样的模拟和真实地震数据进行了重构和对比分析。模拟和实际数据应用显示,该技术是一种高效和高质量的地震数据重构方法。

References

[1]  donohodl.compressedsensing[j].ieeetransactionsoninformationtheory.2006,52(4):1289-1306[2]candesej,rombergjketal.stablesignalrecoveryfromincompleteandinaccuratemeasurements[j].communicationsonpureandappliedmathematics.2006,59(8):1207-1223[3]herrmannfj.randomizedsamplingandsparsity:gettingmoreinformationfromfewersamples.geophy-sics,2010,75(6):wb173-wb187.[4]ru-shanwu.[j].wubangyu,gengyu.imagingincompresseddomainusingdreamlets.cps/segbeijinginternationalgeophysicalconference&expositionexpandedabstracts.2009,:-[5]ru-shanwu,gengyu,yelingling.preliminarystudyondreamletbasedcompressivesensingdatarecovery.segtechnicalprogramexpandedabstracts,2013,32:3585-3589.[6]herrmannfj,wangdletal.curvelet-basedseismicdataprocessing:amultiscaleandnonlinearapproach.geophysics,2008,73(1):a1-a5.[7]lichengbo,moshercc,kaplanst.interpolatedcompressivesensingforseismicdatareconstruction.segtechnicalprogramexpandedabstracts,2012,31:1-6.[8]moshercc,kaplanst,janiszewskifd.non-uniformoptimalsamplingforseismicsurvedesign.eagecopenhagenmeetingexpandedabstracts,2012,x034.[9]ru-shanwu,gengyu,wubangyu.physicalwaveletdefinedonanobservationplaneandthedreamlet.segtechnicalprogramexpandedabstracts,2011,30:3835-3839.
[2]  donohodl.compressedsensing[j].ieeetransactionsoninformationtheory.2006,52(4):1289-1306
[3]  herrmannfj.randomizedsamplingandsparsity:gettingmoreinformationfromfewersamples.geophy-sics,2010,75(6):wb173-wb187.
[4]  ru-shanwu.[j].wubangyu,gengyu.imagingincompresseddomainusingdreamlets.cps/segbeijinginternationalgeophysicalconference&expositionexpandedabstracts.2009,:-
[5]  ru-shanwu,gengyu,yelingling.preliminarystudyondreamletbasedcompressivesensingdatarecovery.segtechnicalprogramexpandedabstracts,2013,32:3585-3589.
[6]  herrmannfj,wangdletal.curvelet-basedseismicdataprocessing:amultiscaleandnonlinearapproach.geophysics,2008,73(1):a1-a5.
[7]  lichengbo,moshercc,kaplanst.interpolatedcompressivesensingforseismicdatareconstruction.segtechnicalprogramexpandedabstracts,2012,31:1-6.
[8]  moshercc,kaplanst,janiszewskifd.non-uniformoptimalsamplingforseismicsurvedesign.eagecopenhagenmeetingexpandedabstracts,2012,x034.
[9]  candesej,rombergjketal.stablesignalrecoveryfromincompleteandinaccuratemeasurements[j].communicationsonpureandappliedmathematics.2006,59(8):1207-1223
[10]  ru-shanwu,gengyu,wubangyu.physicalwaveletdefinedonanobservationplaneandthedreamlet.segtechnicalprogramexpandedabstracts,2011,30:3835-3839.

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