A Twice Optimizing Net With Matrix Decomposition for Hyperspectral and Multispectral Image Fusion

A Twice Optimizing Net With Matrix Decomposition for Hyperspectral and Multispectral Image Fusion

Fusing a low-resolution hyperspectral (LRHS) image and a high-resolution multispectral (HRMS) image to generate a high-resolution hyperspectral (HRHS) image has grown a significant and attractive application in remote sensing fields. Recently, the popularization of deep learning has injected more po...

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Bibliographic Details
Main Authors: Dunbin Shen, Jianjun Liu, Zhiyong Xiao, Jinlong Yang, Liang Xiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
hyperspectral image
image fusion
loss function
super resolution
Online Access:https://ieeexplore.ieee.org/document/9141409/

Internet

https://ieeexplore.ieee.org/document/9141409/

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