Hybrid rank-sparsity constraint model for simultaneous reconstruction and denoising of 3D seismic data
作者: Dong ZhangYatong ZhouHanming ChenWei ChenShaohuan ZuYangkang Chen
来源数据库: SPIE-the International Society for Optical Engineering
DOI: 10.1190/geo2016-0557.1
关键词: Hybrid constraint model3D seismic datadata reconstructiondenoising
原始语种摘要: ABSTRACTWe have determined an approach for simultaneous reconstruction and denoising of 3D seismic data with randomly missing traces. The core in simultaneous reconstruction and denoising of 3D seismic data is the choice of constraint method. Recently, there have been two types of popular approaches to choose such a constraint: sparsity-promoting transforms using a sparsity constraint and rank reduction methods using a rank constraint. Although the sparsity-promoting transform enjoys the direct advantage of high efficiency, it lacks adaptivity to a variety of data patterns. On the other hand, the rank reduction method can be adaptively applied to different data sets, but its computational cost is quite high. We investigate multiple constraints for simultaneous seismic data reconstruction...
全文获取路径: SPIE 
分享到:

×
关键词翻译
关键词翻译
  • reconstruction 复原
  • simultaneous 同时的
  • constraint 约束
  • model 模型
  • seismic 地震的