Hyperspectral data compression based on a transform coding method
Autor: | M. A. Chicheva, Ruslan Yuzkiv |
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Rok vydání: | 2014 |
Předmět: |
business.industry
Computer science Hyperspectral imaging Pattern recognition Compression method Base (topology) Atomic and Molecular Physics and Optics Computer Science Applications Image (mathematics) Discrete cosine transform Artificial intelligence Electrical and Electronic Engineering business Transform coding Data compression |
Zdroj: | Computer Optics. 38:794-803 |
ISSN: | 2412-6179 0134-2452 |
Popis: | A new compression method and an algorithm on its base are proposed in this paper. The approach generalizes the familiar transform coding method to the case of three-dimensional hyperspectral data. The task of selecting the algorithm parameters is solved. The analysis of the algorithm in comparison with the well known image and hyperspectral data compression methods is conducted. Advantages of the proposed algorithm are discussed. |
Databáze: | OpenAIRE |
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