Pansharpening based on convolutional autoencoder and multi-scale guided filter

Pansharpening based on convolutional autoencoder and multi-scale guided filter

Abstract In this paper, we propose a pansharpening method based on a convolutional autoencoder. The convolutional autoencoder is a sort of convolutional neural network (CNN) and objective to scale down the input dimension and typify image features with high exactness. First, the autoencoder network...

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Bibliographic Details
Main Authors: Ahmad AL Smadi, Shuyuan Yang, Zhang Kai, Atif Mehmood, Min Wang, Ala Alsanabani
Format: Article
Language:English
Published: SpringerOpen 2021-07-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Pansharpening
Convolutional autoencoder
Guided image filtering
Adaptive intensity-hue-saturation AIHS
Online Access:https://doi.org/10.1186/s13640-021-00565-3

Internet

https://doi.org/10.1186/s13640-021-00565-3

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