Remote Sensing Image Fusion Based on Morphological Convolutional Neural Networks with Information Entropy for Optimal Scale

Remote Sensing Image Fusion Based on Morphological Convolutional Neural Networks with Information Entropy for Optimal Scale

Remote sensing image fusion is a fundamental issue in the field of remote sensing. In this paper, we propose a remote sensing image fusion method based on optimal scale morphological convolutional neural networks (CNN) using the principle of entropy from information theory. We use an attentional CNN...

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Bibliographic Details
Main Authors: Bairu Jia, Jindong Xu, Haihua Xing, Peng Wu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
remote sensing image fusion
morphological component analysis
information entropy
deep learning
multi-scale
Online Access:https://www.mdpi.com/1424-8220/22/19/7339

Internet

https://www.mdpi.com/1424-8220/22/19/7339

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