Large-scale hyperspectral image compression via sparse representations based on online learning

DOI10.2478/amcs-2018-0015zbMath1396.68132OpenAlexW2795192973MaRDI QIDQ1787085

Ersin Kizgut, İrem Ülkü

Publication date: 26 September 2018

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amcs-2018-0015

zbMATH Keywords

compression algorithmsdictionary learninghyperspectral imagingsparse coding

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)

Uses Software

• PDCO
• TwIST

Cites Work

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• Compressive-Projection Principal Component Analysis
• Data-driven models for fault detection using kernel PCA: A water distribution system case study

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