Outlier Denoising Using a Novel Statistics-Based Mask Strategy for Compressive Sensing

Outlier Denoising Using a Novel Statistics-Based Mask Strategy for Compressive Sensing

Denoising is always an important step in seismic processing, in order to produce high-quality data for subsequent imaging and inversion. Different types of noise can be suppressed using targeted denoising methods. For outlier noise with singular amplitudes, many classical denoising methods suffer fr...

Full description

Bibliographic Details
Main Authors: Weiqi Wang, Jidong Yang, Jianping Huang, Zhenchun Li, Miaomiao Sun
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
outlier noise
denoising
compressive sensing
inverse problem
Online Access:https://www.mdpi.com/2072-4292/15/2/447

Internet

https://www.mdpi.com/2072-4292/15/2/447

Similar Items