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

Zhao, Shijie; Zheng, Wei; Li, Zhaowei; Zhu, Huizhong; Xu, Aigong

doi:10.1109/jsen.2023.3265307

IEEE Sensors J.

2023

DOI: 10.1109/jsen.2023.3265307

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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

Shijie Zhao

Wei Zheng

Zhaowei Li

et al.

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

Fan,

Han,

Chen

et al. 2024

IEEE Sensors J.

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

Fan,

Han,

Chen

et al. 2024

IEEE Sensors J.

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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

Cited by 1 publication

References 16 publications

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

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

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