Electromagnetic Signal Classification Based on Class Exemplar Selection and Multi-Objective Linear Programming

Electromagnetic Signal Classification Based on Class Exemplar Selection and Multi-Objective Linear Programming

In the increasingly complex electromagnetic environment, a variety of new signal types are appearing; however, existing electromagnetic signal classification (ESC) models cannot handle new signal types. In this context, the emergence of class-incremental learning aims to incrementally update the cla...

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Bibliographic Details
Main Authors: Huaji Zhou, Jing Bai, Linchun Niu, Jie Xu, Zhu Xiao, Shilian Zheng, Licheng Jiao, Xiaoniu Yang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
class incremental learning
electromagnetic signal classification
deep learning
multi-objective linear programming
class exemplar selection
normalized mutual information
Online Access:https://www.mdpi.com/2072-4292/14/5/1177

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https://www.mdpi.com/2072-4292/14/5/1177

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