Identification of Environmental Noise Traces in Seismic Recordings Using Vision Transformer and Mel-Spectrogram
Environmental noise is inevitable during seismic data acquisition, with major sources including heavy machinery, rivers, wind, and other environmental factors. During field data acquisition, it is important to assess the impact of environmental noise and evaluate data quality. In subsequent seismic...
Saved in:
| Main Authors: | Qianlong Ding, Shuangquan Chen, Jinsong Shen, Borui Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-08-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/15/8586 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detection of Abnormal Symptoms Using Acoustic-Spectrogram-Based Deep Learning
by: Seong-Yoon Kim, et al.
Published: (2025-04-01) -
Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion
by: Canghong Shi, et al.
Published: (2025-07-01) -
Nanomembranes and Urban Vehicles: A Simple Way to Minimize Urban Noise
by: Elvis C. Monteiro, et al.
Published: (2025-02-01) -
Methodological advances in seismic noise imaging of the Alpine area
by: Paul, Anne, et al.
Published: (2024-09-01) -
Road Traffic Noise Attenuation by Vegetation Belts at Some Sites in the Tarai Region of India
by: Vikrant TYAGI, et al.
Published: (2013-09-01)