MSCSCformer: Multiscale Convolutional Sparse Coding-Based Transformer for Pansharpening

With the increasing significance of high-quality, high-resolution multispectral images (HRMSs) in various domains, pansharpening, which fuses low-resolution multispectral images (LRMSs) with high-resolution panchromatic (PAN) images, has gained considerable attention. However, current deep-learning...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 62; S. 1 - 12
Hauptverfasser:	Ye, Yongxu, Wang, Tingting, Fang, Faming, Zhang, Guixu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Ablation Coding Convolutional neural networks Deep unfolding network Feature extraction High resolution Image quality Image resolution Information processing Iterative methods multiscale convolution sparse coding (MS-CSC) Optimization Pansharpening pansharpening (PAN) remote sensing Spectral bands Task analysis transformer Transformers
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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