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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Detalles Bibliográficos
Autores principales: Jia, Bairu, Xu, Jindong, Xing, Haihua, Wu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572536/
https://www.ncbi.nlm.nih.gov/pubmed/36236437
http://dx.doi.org/10.3390/s22197339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572536/
https://www.ncbi.nlm.nih.gov/pubmed/36236437
http://dx.doi.org/10.3390/s22197339

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