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2015 | OriginalPaper | Chapter

Transform Coding Method for Hyperspectral Data: Influence of Block Characteristics to Compression Quality

Authors : Marina Chicheva, Ruslan Yuzkiv

Published in: Analysis of Images, Social Networks and Texts

Publisher: Springer International Publishing

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Abstract

The aim of this paper is to study how block characteristics influence on the compression quality fo hyperspectral data using block transform method. Coordinates in hyperspectral image are not equivalent – two of them are space-based ones and the third coordinate corresponds to a spectral channel. Thus it is necessary to investigate the algorithm implementation with blocks extended along spectral axis. Moreover, it is known that in two-dimensional case, an increasing block size leads to improvement of compression quality. Hence it is useful to investigate the algorithm implementation with cubic blocks of increased size.

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Metadata
Title
Transform Coding Method for Hyperspectral Data: Influence of Block Characteristics to Compression Quality
Authors
Marina Chicheva
Ruslan Yuzkiv
Copyright Year
2015
Book
Analysis of Images, Social Networks and Texts

Print ISBN: 978-3-319-26122-5

Electronic ISBN: 978-3-319-26123-2

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-26123-2_5

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