基于深度学习的航空视觉跟踪方法综述

IF 2 4区物理与天体物理 Q3 OPTICS

Journal of Optics Pub Date : 2023-09-08 DOI:10.1007/s12596-023-01357-w

Chuangju Wu

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comprehensive survey of deep learning-based approaches for aerial visual tracking

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来源期刊

Journal of Optics OPTICS-

CiteScore

4.50

自引率

4.80%

发文量

237

审稿时长

1.9 months

期刊介绍： Journal of Optics publishes new experimental and theoretical research across all areas of pure and applied optics, both modern and classical. Research areas are categorised as: Nanophotonics and plasmonics Metamaterials and structured photonic materials Quantum photonics Biophotonics Light-matter interactions Nonlinear and ultrafast optics Propagation, diffraction and scattering Optical communication Integrated optics Photovoltaics and energy harvesting We discourage incremental advances, purely numerical simulations without any validation, or research without a strong optics advance, e.g. computer algorithms applied to optical and imaging processes, equipment designs or material fabrication.