Attention_FPNet: Two-Branch Remote Sensing Image Pansharpening Network Based on Attention Feature Fusion

Attention_FPNet: Two-Branch Remote Sensing Image Pansharpening Network Based on Attention Feature Fusion

Inspired by the impressive achievements of convolutional neural networks in various computer vision tasks and the effective role of attention mechanisms, this article proposes a two-branch fusion network based on attention feature fusion (AFF) called Attention_FPNet to solve the pansharpening proble...

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Bibliographic Details
Main Authors: Xiwu Zhong, Yurong Qian, Hui Liu, Long Chen, Yaling Wan, Liang Gao, Jing Qian, Jun Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention feature fusion (AFF)
convolutional neural network (CNN)
image fusion
pansharpening
remote sensing
Online Access:https://ieeexplore.ieee.org/document/9609690/

Internet

https://ieeexplore.ieee.org/document/9609690/

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