Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening

Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening

Hyperspectral (HS) pansharpening aims at fusing a low-resolution HS (LRHS) image with a panchromatic image to obtain a full-resolution HS image. Most of the existing HS pansharpening approaches are usually based on traditional multispectral pansharpening techniques, which are not especially tailored...

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Bibliographic Details
Main Authors: Lin He, Jiawei Zhu, Jun Li, Deyu Meng, Jocelyn Chanussot, Antonio Plaza
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 networks (CNNs)
hierarchical detail reconstruction
hyperspectral image
pansharpening
spectral-fidelity loss
Online Access:https://ieeexplore.ieee.org/document/9200718/

Internet

https://ieeexplore.ieee.org/document/9200718/

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