AI4EPS / DeepDenoiserLinks
DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks
☆235Updated 6 months ago
Alternatives and similar repositories for DeepDenoiser
Users that are interested in DeepDenoiser are comparing it to the libraries listed below
Sorting:
- Code to reproduce "Separation and denoising of seismically-induced signals with dual-path recurrent neural network architecture" paper 20…☆35Updated 4 years ago
- This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Usin…☆42Updated 3 years ago
- Deep Denoising Autoencoder for Seismic Random Noise Attenuation☆32Updated 4 years ago
- Tools to denoise the seismic signal☆27Updated 2 years ago
- 微震拾取模型☆14Updated 3 years ago
- Matlab research tools to read, write and process seismic data☆98Updated 7 months ago
- PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method☆337Updated 4 months ago
- Using convolutional autoencoders to remove random noise from seismic data.☆17Updated 4 years ago
- Seismic pre-stack data AVO three terms inversion☆19Updated 10 months ago
- Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training☆19Updated 3 years ago
- Seismic data reconstruction is an important research direction in the field of seismic signal analysis. The complete seismic data can be …☆21Updated 6 years ago
- ☆11Updated 6 years ago
- ☆17Updated 2 years ago
- ☆42Updated 4 months ago
- Official reproducible material for Noise attenuation in distributed acoustic sensing data using a guided unsupervised deep learning netwo…☆14Updated 11 months ago
- An application of generative adversarial networks to seismic data processing (resolution ehancement and denoising).☆57Updated last year
- Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders☆77Updated 3 years ago
- Deep-learning inversion: A next-generation seismic velocity model building method☆205Updated 3 years ago
- Repository for the paper "Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising" (IEEE TGRS)☆90Updated 6 months ago
- Seismic data processing with ML and deep learning☆67Updated 6 years ago
- Contains codes for our paper titled ''Joint Learning for Spatial Context-based Seismic Inversion of Multiple Datasets for Improved Genera…☆12Updated 4 years ago
- dataset of CNN and U-net for earthquake classification and phase picking☆25Updated 4 years ago
- Pyseistr is a python package for structural denoising and interpolation of multi-channel seismic data.☆85Updated 2 weeks ago
- A Python module to train and apply a denoising autoencoder to seismological data☆23Updated 2 months ago
- 基于UNet、PatchGan网络的地震叠加数据去噪方法-tensorflow、Pytorch实现☆20Updated 3 years ago
- Codes and data for the paper: M. Alfarraj and G. AlRegib, "Semi-Supervised Learning for Acoustic Impedance Inversion," in Expanded Abstra…☆18Updated 4 years ago
- Seismic attributes calculation in matlab☆13Updated 5 years ago
- Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interp…☆42Updated 3 years ago
- Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data …☆50Updated 4 years ago
- The code of Paper 'SeisCLIP: A seismology foundation model pre-trained by multimodal data for multipurpose seismic feature extraction'☆54Updated last year