SDRCNN: A Single-Scale Dense Residual Connected Convolutional Neural Network for Pansharpening
Author:
Affiliation:
1. Department of Civil Engineering, Design School, Xi'an Jiaotong-Liverpool University, Suzhou, China
Funder
Xi'an Jiaotong-Liverpool University Research Enhancement Fund
Xi'an Jiaotong-Liverpool University Postgraduate Research Scholarship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10173486.pdf?arnumber=10173486
Reference76 articles.
1. A Fast Intensity–Hue–Saturation Fusion Technique With Spectral Adjustment for IKONOS Imagery
2. Transformer-Based Regression Network for Pansharpening Remote Sensing Images
3. The pan-sharpening of satellite and UAV imagery for agricultural applications
4. Unsupervised Pansharpening Method Using Residual Network With Spatial Texture Attention
5. Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data
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