A Study on Meteorological Recognition With a Fusion Enhanced Model Based on EVA02 and LinearSVC

A Study on Meteorological Recognition With a Fusion Enhanced Model Based on EVA02 and LinearSVC

Meteorological identification and observation are crucial in production activities closely related to meteorology, such as agricultural production. Currently, some machine learning methods applied in meteorological identification exhibit low richness of semantic features and weak transferability in...

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Bibliographic Details
Main Authors: Chuanhao Cheng, Yu Cao, Hongfei Yu, Qiong Zhang, Xu Cheng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Meteorological recognition
image classification
machine learning
knowledge transfer
support vector machines
Online Access:https://ieeexplore.ieee.org/document/10440065/

Internet

https://ieeexplore.ieee.org/document/10440065/

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