U-Net with Asymmetric Convolution Blocks for Road Traffic Noise Attenuation in Seismic Data
Road traffic noise is a special kind of high amplitude noise in seismic or acoustic data acquisition around a road network. It is a mixture of several surface waves with different dispersion and harmonic waves. Road traffic noise is mainly generated by passing vehicles on a road. The geophones near...
Main Authors: | Zhaolin Zhu, Xin Chen, Danping Cao, Mingxin Cheng, Shuaimin Ding |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/8/4751 |
Similar Items
-
A novel approach for semantic segmentation of automatic road network extractions from remote sensing images by modified UNet
by: Miral J. Patel, et al.
Published: (2022-10-01) -
Transformer assisted dual U-net for seismic fault detection
by: Zhiwei Wang, et al.
Published: (2023-03-01) -
Road Extraction From Satellite Images Using Attention-Assisted UNet
by: Arezou Akhtarmanesh, et al.
Published: (2024-01-01) -
Remote Sensing Image Road Segmentation Method Integrating CNN-Transformer and UNet
by: Rui Wang, et al.
Published: (2023-01-01) -
ConvWin-UNet: UNet-like hierarchical vision Transformer combined with convolution for medical image segmentation
by: Xiaomeng Feng, et al.
Published: (2023-01-01)