MVFFNet: Multi-view feature fusion network for imbalanced ship classification-Reference-Cited by-同舟云学术

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MVFFNet: Multi-view feature fusion network for imbalanced ship classification

Published:2021-11 Issue: Volume:151 Page:26-32
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Liang Maohan,Zhan Yang,Liu Ryan Wen

Funder

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

State Key Laboratory of Resources and Environmental Information System

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference32 articles.

1. Ship-handling behavior pattern recognition using AIS sub-trajectory clustering analysis based on the T-SNE and spectral clustering algorithms;Gao;Ocean Eng.,2020

2. Estimated time of arrival using historical vessel tracking data;Alessandrini;IEEE Trans. Intell. Transp. Syst.,2019

3. Mobility pattern analysis of ship trajectories based on semantic transformation and topic model;Huang;Ocean Eng.,2020

4. A dimensionality reduction-based multi-step clustering method for robust vessel trajectory analysis;Li;Sensors,2017

5. The significance of incorporating unidentified vessels into AIS-based ship emission inventory;Zhang;Atmos. Environ.,2019

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2. Construction of a large-scale maritime element semantic schema based on knowledge graph models for unmanned automated decision-making;Frontiers in Marine Science;2024-06-05

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5. Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation;IEEE Transactions on Intelligent Transportation Systems;2024

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