| Title: | Hyperspectral images repository using a hierarchical compression |
| Authors: | Gashnikov, M. V. Glumov, N. I. |
| Citation: | WSCG 2015: poster papers proceedings: 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 1-4. |
| Issue Date: | 2015 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | wscg.zcu.cz/WSCG2015/CSRN-2503.pdf http://hdl.handle.net/11025/29558 |
| ISBN: | 978-80-86943-67-1 |
| ISSN: | 2464-4617 |
| Keywords: | hierarchická komprese;přiblížení obrazu;hyperspektrální obraz;úložiště obrazu;maximální odchylka;spektrální pásmo |
| Keywords in different language: | hierarchical compression;image approximation;hyperspectral image;image repository;maximum deviation;spectral band |
| Abstract: | The possibilities of hierarchical compression in hyperspectral images repository are investigated. The image analysis of «SpecTIR» and «AVIRIS» hyperspectrometers is carried out. In order to increase the compression ratio, the spectral bands approximation algorithms are proposed to provide fast access to individual bands. The effectiveness of the developed algorithms is investigated through computational experiments using real 16-bit hyperspectral images. |
| Rights: | © Václav Skala - Union Agency |
| Appears in Collections: | WSCG 2015: Poster Papers Proceedings |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Gashnikov.pdf | Plný text | 939,7 kB | Adobe PDF | View/Open |
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