Synthesis of High-Resolution Formosat-8 Satellite Image using Fast Convex Deep Learning Algorithm
Author:
Affiliation:
1. National Cheng Kung University,Department of Electrical Engineering,Tainan,Taiwan
2. Hsinchu National Science Park,Taiwan Space Agency,Hsinchu,Taiwan
Funder
National Science and Technology Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640913.pdf?arnumber=10640913
Reference18 articles.
1. An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution
2. A Convex Optimization-Based Coupled Nonnegative Matrix Factorization Algorithm for Hyperspectral and Multispectral Data Fusion
3. Deep Learning for Image Super-Resolution: A Survey
4. TASA: FORMOSAT-8
5. ADMM-ADAM: A New Inverse Imaging Framework Blending the Advantages of Convex Optimization and Deep Learning
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