# DMSSA2016

**Repository Path**: nicklinyi/DMSSA2016

## Basic Information

- **Project Name**: DMSSA2016
- **Description**: 2016-Computers & Geosciences-An open-source Matlab code package for improved rank-reduction 3D seismic data denoising and reconstruction.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 0
- **Created**: 2018-12-10
- **Last Updated**: 2021-07-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# An open-source Matlab code package for improved rank-reduction 3D seismic data denoising and reconstruction
> Chen Y, Huang W, Zhang D, et al. An open-source matlab code package for improved rank-reduction 3D seismic data denoising and reconstruction[J]. Computers & Geosciences, 2016, 95: 59-66.

#### Code author
Yangkang Chen, 2016

#### Examples
- Fig. 1. (a) Clean data. (b) Noisy data. (c) Observed data with 50% missing traces. (d) Denoised and reconstructed using the MSSA method. (e) Denoised and reconstructed using the proposed approach (K=2).
<img src="figs/Fig1.jpg" width="800px"/>

- Fig. 2. (a) Denoised and reconstructed data using the proposed approach when K=3. (b) Denoised and reconstructed data using the proposed approach when K=1.
<img src="figs/Fig2.jpg" width="800px"/>

- Fig. 3. Single slice comparison (5th crossline section). (a) Clean data. (b) Noisy data. (c) Observed data with 50% missing traces. (d) Denoised and reconstructed using the MSSA method. (e) Denoised and reconstructed data using the proposed approach (K=2).
<img src="figs/Fig3.jpg" width="800px"/>

- Fig. 4. Single slice comparison (5th inline section). (a) Clean data. (b) Noisy data. (c) Observed data with 50% missing traces. (d) Denoised and reconstructed using the MSSA method. (e) Denoised and reconstructed using the proposed approach (K=2).
<img src="figs/Fig4.jpg" width="800px"/>

- Fig. 5. (a) Observed field data (binned to the regular grid). (b) Reconstructed data using the MSSA method. (c) Reconstructed data using the DMSSA method. (d) 4th crossline slice of the observed data. (e) 4th crossline slice of the MSSA reconstructed data. (f) 4th crossline slice of the reconstructed data using the proposed approach.
<img src="figs/Fig5.jpg" width="800px"/>