Method of defogging unmanned aerial vehicle images based on intelligent manufacturing-Reference-Cited by-同舟云学术

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Method of defogging unmanned aerial vehicle images based on intelligent manufacturing

Published:2022-09-20 Issue:01 Volume:32 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Wang Pin¹,Gao Zhijian²,Wang Peng³,Zeng Lingyu¹,Zhong Hongmei¹

Affiliation:

1. Shenzhen Polytechnic, School of Mechanical and Electrical Engineering, Shenzhen, China

2. Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, Shenzhen, China

3. Kunming Institute of Botany, Chinese Academy of Sciences, Service Center for Information Technology, Kunming, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference30 articles.

1. A benchmark and simulator for UAV tracking;Mueller,2016

2. Combating bad weather Part II: fog removal from image and video;Mukhopadhyay,2015

3. Adaptive image fog removal based on multi-scale WLS filter

4. Neural network and fuzzy logic-based hybrid attitude controller designs of a fixed-wing UAV

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Blockchain-Driven Optimization in Intelligent Manufacturing;International Journal of Simulation Modelling;2023-06-07

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