Irregular seismic data reconstruction based on exponential threshold model of POCS method
By Jianjun Gao, Xiaohong Chen, Jingye Li, Guochang Liu, Jianyun Ma. 2010
64 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geophysics, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/8f31d0ac0fe9d87a7c8e6aedee2087b95d8cd03f
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In Computer Vision and Pattern Recognition
In Geophysics
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Curvelet-based POCS interpolation of nonuniformly sampled seismic records (2012, methodology): “, 2004), and seismic data interpolation (Abma and Kabir, 2006; Gao et al., 2010).”
- Dreamlet-based interpolation using POCS method (2014, methodology): “Methods for interpolation can be divided into three categories (Gao et al., 2013): First, methods based onmathematical transform and signal analysis (Herrmann and Hennenfent, 2008; Naghizadeh and Innanen, 2011; Naghizadeh and Sacchi, 2010; Trad et al., 2002; Wang et al., 2010); second, prediction fi”
- Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization (2014, background): “Some of the common iterative thresholding strategies are constant-value thresholding, linear-decreasing thresholding, exponential-decreasing thresholding, etc. (Gao et al., 2010).”