A Deep-Shallow Fusion Network With Multidetail Extractor and Spectral Attention for Hyperspectral Pansharpening

A Deep-Shallow Fusion Network With Multidetail Extractor and Spectral Attention for Hyperspectral Pansharpening

Hyperspectral (HS) pansharpening aims at fusing a low-resolution HS image with a high-resolution panchromatic (PAN) image to obtain a HS image with both higher spectral and spatial resolutions. However, existing HS pansharpening algorithms are mainly based on multispectral pansharpening approaches,...

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Bibliographic Details
Main Authors: Yu-Wei Zhuo, Tian-Jing Zhang, Jin-Fan Hu, Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
deep- shallow architecture
hyperspectral (HS) pansharpening
multi- detail extractor (MDE)
spectral attention (SA)
Online Access:https://ieeexplore.ieee.org/document/9870551/

Internet

https://ieeexplore.ieee.org/document/9870551/

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