Hyperspectral low altitude UAV target tracking algorithm based on deep learning and improved KCF

Hyperspectral low altitude UAV target tracking algorithm based on deep learning and improved KCF

This article presents a novel target tracking algorithm for hyperspectral low altitude UAV, combining deep learning with an improved Kernelized Correlation Filter (KCF). Initially, an image noise reduction method based on principal component analysis with Block-Matching 3D (BM3D), is employed to pro...

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Bibliographic Details
Main Authors:	Haodong Sun, Pengge Ma, Zhenghao Li, Zhaoyi Ye, Yueran Ma
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Physics
Subjects:	low altitude UAV principal component analysis YOLOv5 kernel correlation filtering algorithm discriminant scale spatial tracker
Online Access:	https://www.frontiersin.org/articles/10.3389/fphy.2024.1341353/full

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