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...
Main Authors: | Haodong Sun, Pengge Ma, Zhenghao Li, Zhaoyi Ye, Yueran Ma |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-02-01
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Series: | Frontiers in Physics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2024.1341353/full |
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