MDECNN: A Multiscale Perception Dense Encoding Convolutional Neural Network for Multispectral Pan-Sharpening

With the rapid development of deep neural networks in the field of remote sensing image fusion, the pan-sharpening method based on convolutional neural networks has achieved remarkable effects. However, because remote sensing images contain complex features, existing methods cannot fully extract spa...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 13; no. 3; p. 535
Main Authors:	Li, Weisheng, Liang, Xuesong, Dong, Meilin
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.02.2021
Subjects:	Algorithms Artificial intelligence Artificial neural networks Coding comprehensive loss Computer vision convolutional neural network data collection Decomposition Deep learning dense coding feature enhancement Feature extraction Image enhancement Image processing Image quality Image reconstruction Information processing Mapping Methods multiscale perception Neural coding Neural networks Perception Principal components analysis Remote sensing Satellite imagery Satellites Sensors Sharpening Spatial data Spectra Wavelet transforms
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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