Convolutional Autoencoder-Based Multispectral Image Fusion

This paper presents a deep learning-based pansharpening method for fusion of panchromatic and multispectral images in remote sensing applications. This method can be categorized as a component substitution method in which a convolutional autoencoder network is trained to generate original panchromat...

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Veröffentlicht in:	IEEE access Jg. 7; S. 35673 - 35683
Hauptverfasser:	Azarang, Arian, Manoochehri, Hafez E., Kehtarnavaz, Nasser
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computer architecture Computer vision Convolution convolutional autoencoder-based pansharpening Convolutional codes Deep learning fusion of panchromatic and multispectral images in remote sensing High resolution Image fusion Image processing Image reconstruction Image resolution Multispectral image fusion by convolutional autoencoder Remote sensing Satellite imagery Spatial resolution
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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