ISAR Ship Classification Using Metadata Features-Reference-Cited by-同舟云学术

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ISAR Ship Classification Using Metadata Features

Published:2022-11-30 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
language:
Short-container-title:

Author:

Rosenberg Luke¹,Zhao Weiliang²,Heng Anthony²,Dahal Nabaraj¹,Hamey Len²,Orgun Mehmet²

Affiliation:

1. Defence Science and Technology Group,Australia

2. Macquarie University,Australia

Funder

Defence Science and Technology Group

Macquarie University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10034558/10034559/10034611.pdf?arnumber=10034611

Reference20 articles.

1. Alvinn: An autonomous land vehicle in a neural network;pomerleau;Advances in neural information processing systems,1988

2. A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images

3. ISAR Ship Classification Using Transfer Learning

4. The Balanced Accuracy and Its Posterior Distribution

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Micro-Doppler Target Classification by Fusing Spectrograms and Additional Target Features;2024 IEEE Radar Conference (RadarConf24);2024-05-06

2. Design of Convolutional Neural Networks for Classification of Ships from ISAR Images;2024 IEEE Radar Conference (RadarConf24);2024-05-06

3. Ship target recognition based on superstructure matching;E3S Web of Conferences;2024

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