Interpolation and denoising of high-dimensional seismic data by learning a tight frame

By Siwei Yu, Jianwei Ma, Xiaoqun Zhang, Mauricio D. Sacchi. 2015

142 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Geophysics

View Paper: https://www.semanticscholar.org/paper/f9e15a3a9848c1b7ce913cc9a6a5a2c9a17858f0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Siwei Yu
2. Jianwei Ma
3. Wenlong Wang
4. Xiaoqun Zhang

In Geophysics

1. Siwei Yu
2. Jianwei Ma
3. Wenlong Wang
4. Xiaoqun Zhang

Citations in the corpus

• Deep Learning for Geophysics: Current and Future Trends (2021, methodology): “DDTF has been applied in high dimensional seismic data reconstruction (Yu et al., 2015, 2016).”
• Deep learning for denoising (2018, methodology): “…such as linear events (Spitz, 1991; Naghizadeh, 2012), sparsity (Zhang and Ulrych, 2003; Hennenfent and Herrmann, 2006; Fomel and Liu, 2013; Yu et al., 2015), and low-rank assumptions (Trickett, 2008; Kreimer and Sacchi, 2012), such that the data can be distinguished from the noise with…”