Expanding the algorithmic information theory frame for applications to Earth observation

DOI10.3390/E15010407zbMath1371.68077OpenAlexW2139514671MaRDI QIDQ742657

Mihai Datcu, Daniele Cerra

Publication date: 19 September 2014

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e15010407

zbMATH Keywords

algorithmic information theorydata compressionremote sensing

Mathematics Subject Classification ID

Algorithmic information theory (Kolmogorov complexity, etc.) (68Q30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)

Related Items (1)

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Cites Work

• Algorithmic relative complexity
• Data compression and learning in time sequences analysis
• Evaluating the Impact of Information Distortion on Normalized Compression Distance
• Clustering by Compression
• The Similarity Metric
• Compression of individual sequences via variable-rate coding
• A measure of relative entropy between individual sequences with application to universal classification
• On the role of pattern matching in information theory
• The Kolmogorov Lecture The Universal Distribution and Machine Learning
• An introduction to Kolmogorov complexity and its applications

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