Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning

Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning

Underwater source localization is an important task, especially for real-time operation. Recently, machine learning methods have been combined with supervised learning schemes. This opens new possibilities for underwater source localization. However, in many real scenarios, the number of labeled dat...

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Bibliographic Details
Main Authors: Xiaoyu Zhu, Hefeng Dong, Pierluigi Salvo Rossi, Martin Landrø
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
underwater source localization
feature selection
principal component analysis
principal component regression
semi-supervised learning
deep neural network
Online Access:https://www.mdpi.com/2072-4292/13/8/1486

Internet

https://www.mdpi.com/2072-4292/13/8/1486

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