Contrastive Learning-Based Haze Visibility Enhancement in Intelligent Maritime Transportation System
With the rapid development of artificial intelligence and big traffic data, the data-driven intelligent maritime transportation has received significant attention in both industry and academia. It is capable of improving traffic efficiency and reducing traffic accidents in maritime applications. How...
Saved in:
| Main Authors: | Xianjun Hu, Jing Wang, Guilian Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/2160044 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced object detection in low-visibility haze conditions with YOLOv9s.
by: Yang Zhang, et al.
Published: (2025-01-01) -
CNN-Enabled Visibility Enhancement Framework for Vessel Detection under Haze Environment
by: Yuxu Lu, et al.
Published: (2021-01-01) -
Effects of Regional Transport on Haze in the North China Plain: Transport of Precursors or Secondary Inorganic Aerosols
by: Huiyun Du, et al.
Published: (2020-07-01) -
Peering through the haze:
by: Rosangela Aparecida Soares Fernandes, et al.
Published: (2024-12-01) -
Characterization of Field of View in Visible Light Communication Systems for Intelligent Transportation Systems
by: Marco Seminara, et al.
Published: (2020-01-01)