Fast Array Ground Penetrating Radar Localization by CNN-Based Optimization Method

Fast Array Ground Penetrating Radar Localization by CNN-Based Optimization Method

This article presents an optimization-based approach to overcome redundancy arising from the multivariables enumeration process in multiple signal classification (MUSIC). By incorporating Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimization, the computational speed o...

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Bibliographic Details
Main Authors: Changyu Zhou, Xu Bai, Li Yi, Munawar Shah, Motoyuki Sato, Xiaohua Tong
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Broyden–Fletcher–Goldfarb–Shanno (BGFS)
convolutional neural network (CNN)
multiple signal classification (MUSIC)
quasi-Newton method
Online Access:https://ieeexplore.ieee.org/document/10413561/

Internet

https://ieeexplore.ieee.org/document/10413561/

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