Hyperspectral data compression based on a transform coding method

Autor: M. A. Chicheva, Ruslan Yuzkiv
Rok vydání: 2014
Předmět:
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