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...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-07-01
|
Series: | EURASIP Journal on Image and Video Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13640-021-00565-3 |