TransCloudSeg: Ground-Based Cloud Image Segmentation With Transformer

TransCloudSeg: Ground-Based Cloud Image Segmentation With Transformer

Cloud image segmentation plays an important role in ground-based cloud observation. Recently, most existing methods for ground-based cloud image segmentation learn feature representations using the convolutional neural network (CNN), which results in the loss of global information because of the lim...

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Bibliographic Details
Main Authors: Shuang Liu, Jiafeng Zhang, Zhong Zhang, Xiaozhong Cao, Tariq S. Durrani
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
cloud image segmentation
heterogeneous feature maps
transformer
Online Access:https://ieeexplore.ieee.org/document/9842308/

Internet

https://ieeexplore.ieee.org/document/9842308/

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