MSSL: Hyperspectral and Panchromatic Images Fusion via Multiresolution Spatial-Spectral Feature Learning Networks

The fusion of hyperspectral (HS) and panchromatic (PAN) images aims to generate a fused HS image that combines spectral information of the HS image with spatial information of the PAN image. In this article, we propose a multiresolution spatial-spectral feature learning (MSSL) framework for fusing H...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 60; s. 1 - 13
Hlavní autori:	Qu, Jiahui, Shi, Yanzi, Xie, Weiying, Li, Yunsong, Wu, Xianyun, Du, Qian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Bayes methods Computer applications Computer vision Convolutional autoencoder (CAE) Data mining Feature extraction hyperspectral (HS) pansharpening image fusion Image processing Image reconstruction Image resolution Learning multiresolution Pansharpening Remote sensing Spatial data Spatial discrimination learning Spatial resolution spatial–spectral feature Spectra
ISSN:	0196-2892, 1558-0644
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