Recent Progress in Ocean Intelligent Perception and Image Processing and the Impacts of Nonlinear Noise
Deep learning network models are crucial in processing images acquired from optical, laser, and acoustic sensors in ocean intelligent perception and target detection. This work comprehensively reviews ocean intelligent perception and image processing technology, including ocean intelligent perceptio...
Saved in:
| Main Authors: | Huayu Liu, Ying Li, Tao Qian, Ye Tang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/7/1043 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Structural Features and Recent Progress of Super Junction IGBT
by: Jinping ZHANG, et al.
Published: (2021-09-01) -
Advancing Public Ocean Perceptions Research: a guiding approach to strengthen collaboration for ocean health
by: Jen McRuer, et al.
Published: (2025-01-01) -
The Measurement of Nonlinear Distortion Using Broadband Noise
by: Andrzej DOBRUCKI,, et al.
Published: (2008-12-01) -
A comprehensive review on real-world challenges faced by hearing aid users and innovative solutions for background noise—from lab to life
by: Mishal Mustafa, et al.
Published: (2025-04-01) -
Performance Limitations Due to Intra-Core Crosstalk and Nonlinear Interference Noise in Weakly Coupled Multi-Core Fiber Transmission Systems
by: Wencheng Li, et al.
Published: (2025-02-01)