A Remote-Sensing Image Pan-Sharpening Method Based on Multi-Scale Channel Attention Residual Network

A Remote-Sensing Image Pan-Sharpening Method Based on Multi-Scale Channel Attention Residual Network

Pan-sharpening is a significant task that aims to generate high spectral- and spatial- resolution remote-sensing image by fusing multi-spectral (MS) and panchromatic (PAN) image. The conventional approaches are insufficient to protect the fidelity both in spectral and spatial domains. Inspired by th...

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Bibliographic Details
Main Authors: Xin Li, Feng Xu, Xin Lyu, Yao Tong, Ziqi Chen, Shengyang Li, Daofang Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Pan-sharpening
deep learning
multi-scale feature extraction
multi-residual learning
channel-attention mechanism
convergence acceleration
Online Access:https://ieeexplore.ieee.org/document/8981952/

Internet

https://ieeexplore.ieee.org/document/8981952/

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