Convolutional LSTM-Based Hierarchical Feature Fusion for Multispectral Pan-Sharpening

Multispectral (MS) pan-sharpening aims at producing high-resolution (HR) MS images in both spatial and spectral domains, by merging single-band panchromatic (PAN) images and corresponding MS images with low spatial resolution. The intuitive way to accomplish such MS pan-sharpening tasks, or to recon...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-16
Hauptverfasser:	Wang, Dong, Bai, Yunpeng, Wu, Chanyue, Li, Ying, Shang, Changjing, Shen, Qiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer architecture Convolutional long short-term memory (ConvLSTM) Feature extraction Feature maps Fuses hierarchical feature fusion Image reconstruction Image resolution Information exchange information fusion Information processing Long short-term memory multispectral (MS) pan-sharpening Remote sensing Representations Resolution Sharpening Spatial discrimination Spatial resolution Task analysis triple attention
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