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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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2022, Vol.15, p.6121-6132
Hauptverfasser:	Liu, Shuang, Zhang, Jiafeng, Zhang, Zhong, Cao, Xiaozhong, Durrani, Tariq S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks cloud image segmentation Clouds Coders Convolutional neural network (CNN) Convolutional neural networks Decoders Decoding Detection Feature maps Fuses Ground-based observation heterogeneous feature maps Image processing Image segmentation Information processing Methods Neural networks Receptive field Remote sensing transformer Transformers
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