Transfer Learning for Distance Classification of Marine Vessels Using Underwater Sound
Marine environments are increasingly affected by human activities, which generate underwater noise as a by-product. Acoustic data from these environments can offer valuable insights for tracking human activity and improving the monitoring of sensitive areas, such as marine protected areas (MPAs) and...
Saved in:
| Main Authors: | Decrop Wout, Deneudt Klaas, Parcerisas Clea, Schall Elena, Debusschere Elisabeth |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11105453/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer
by: Najamuddin NAJAMUDDIN, et al.
Published: (2025-06-01) -
Underwater acoustic classification across diverse sea environments using adaptive regularization and knowledge encoding
by: Muhammad Azeem Aslam, et al.
Published: (2025-07-01) -
Statistical Optimization of Underwater Lower-Frequency Sound Insulation for Locally Resonant Sonic Material Using Genetic Algorithm
by: Bo YUAN, et al.
Published: (2019-04-01) -
PCA-based denoising and automatic recognition of marine biological sounds to estimate Bio-voice Count Index for marine monitoring
by: Bingjia Huang, et al.
Published: (2025-12-01) -
On the effectiveness of ABH-based metamaterials in vibration control of naval equipment subjected to underwater explosion loads
by: Jacopo Bardiani, et al.
Published: (2025-09-01)