Non-Subsampled Contourlet Transform-Based Domain Feedback Information Distillation Network for Suppressing Noise in Seismic Data

Non-Subsampled Contourlet Transform-Based Domain Feedback Information Distillation Network for Suppressing Noise in Seismic Data

Seismic signal processing often relies on general convolutional neural network (CNN)-based models, which typically focus on features in the time domain while neglecting frequency characteristics. Moreover, down-sampling operations in these models tend to cause the loss of critical high-frequency det...

Full description

Saved in:
Bibliographic Details
Main Authors: Kang Chen, Guangzhi Zhang, Cong Tang, Qi Ran, Long Wen, Song Han, Han Liang, Haiyong Yi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
deep learning (DL)
convolutional neural networks (CNNs)
feedback information distillation network (FID-N)
non-subsampled contourlet transform (NSCT)
noise suppression
seismic data
Online Access:https://www.mdpi.com/2076-3417/15/12/6734
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/15/12/6734

Similar Items