A Novel Method for Ground-Based Cloud Image Classification Using Transformer

A Novel Method for Ground-Based Cloud Image Classification Using Transformer

In recent years, convolutional neural networks (CNNs) have achieved competitive performance in the field of ground-based cloud image (GCI) classification. Proposed CNN-based methods can fully extract the local features of images. However, due to the locality of the convolution operation, they cannot...

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Bibliographic Details
Main Authors: Xiaotong Li, Bo Qiu, Guanlong Cao, Chao Wu, Liwen Zhang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
ground-based cloud image (GCI) classification
convolutional neural network (CNN)
local features
global features
Transformer
Online Access:https://www.mdpi.com/2072-4292/14/16/3978

Internet

https://www.mdpi.com/2072-4292/14/16/3978

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