Dual-Branch Network for Cloud and Cloud Shadow Segmentation

Cloud and cloud shadow segmentation is one of the most important issues in remote sensing image processing. Most of the remote sensing images are very complicated. In this work, a dual-branch model composed of transformer and convolution network is proposed to extract semantic and spatial detail inf...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 60; S. 1 - 12
Hauptverfasser:	Lu, Chen, Xia, Min, Qian, Ming, Chen, Binyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Cloud cover Clouds Convolution Datasets Decoding Deep learning Detection dual branch Feature extraction Image processing Image segmentation Landsat Remote sensing remote sensing image segmentation Shadows Task analysis Transformers
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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