Convolutional Autoencoder-Based Multispectral Image Fusion
Abstract
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 panchromatic images from their spatially degraded versions. Low resolution multispectral images are then fed into the trained convolutional autoencoder network...
Paper Details
Title
Convolutional Autoencoder-Based Multispectral Image Fusion
Published Date
Jan 1, 2019
Journal
Volume
7
Pages
35673 - 35683
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