A Self-Distillation Contrastive Learning Architecture for Global and Local Underwater Terrain Feature Extraction and Matching-Reference-Cited by-同舟云学术

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A Self-Distillation Contrastive Learning Architecture for Global and Local Underwater Terrain Feature Extraction and Matching

Published:2024-06-15 Issue:12 Volume:24 Page:20200-20218
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Fan Gang¹^ORCID,Han Yan¹^ORCID,Chen Pengyun¹^ORCID,Liu Yang¹,Zhang Wenjie²^ORCID,Yung Chung Chi²^ORCID,Zhang Ya¹^ORCID

Affiliation:

1. Department of Mechatronic Engineering, North University of China, Taiyuan, China

2. Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Funder

Shanxi Provincial Key Research and Development Project

Shanxi Province Graduate Education Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10558706/10521485.pdf?arnumber=10521485

Reference49 articles.

1. Navigation for Underwater Vehicles

2. An Improved Particle Filter Based on Gravity Measurement Feature in Gravity-Aided Inertial Navigation System

3. Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method

4. Gravity Matching Algorithm Based on Correlation Filter

5. A Cascade Gravity Matching Algorithm With Large Initial Position Error

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