A Comparative Study of Machine Learning and Deep Learning Models for Weather Image Classification-Reference-Cited by-同舟云学术

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A Comparative Study of Machine Learning and Deep Learning Models for Weather Image Classification

Published:2023-10-20 Issue: Volume:30 Page:356-365
ISSN:
Container-title:2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC)
language:
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Author:

Liu Dun¹,Sun Jiazhi²,Shi Wen³,Xin Changyi⁴,Jiang Linfeng⁵

Affiliation:

1. Beihang University,School of Astronautics,Beijing,China,102206

2. University of California, Davis,College of Letter and Science,Davis,USA,95616

3. Fose, University of Nottingham Ningbo China,Ningbo,China,315100

4. The University of Manchester,Department of Computer Science,Manchester,UK,M139PL

5. Chongqing Nankai Secondary School,Chongqing,China,400030

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424971/10426625/10426648.pdf?arnumber=10426648

Reference14 articles.

1. Environmental Perception Technology for Unmanned Systems

2. Two-Class Weather Classification

3. Weather Classification for Multi-class Weather Image Based on CNN

4. Metric learning for weather image classification

5. A CNN–RNN architecture for multi-label weather recognition

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