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Bc. Roman Orlíček

Master's thesis

Akcelerace algoritmů zpracování hyperspektrálních dat

Acceleration of hyperspectral data processing algorithms
Abstract:
Cieľom diplomovej práce je zrýchlenie vybraných algoritmov na spracovanie hyperspektrálnych údajov. Algoritmy Pixel Purity Index a Image Space Reconstruction Algorithm pre spektrálny unmixing boli vybrané pre zrýchlenie. Zrýchlenie je realizovné paralelizáciou vybraných algoritmov na grafickej karte. V práci sú obsiahnuté taktiež výsledky spektrálneho unmixingu a merania jeho rýchlosti.
Abstract:
The thesis aims to accelerate selected algorithms for processing the hyperspectral data. Pixel Purity Index and Image Space Reconstruction Algorithm for spectral unmixing were chosen for acceleration. The speedup was realized by parallelization on graphics processing unit. Results of implemented spectral unmixing and speed measurements are provided as well.
 

Keywords

Hyperspectral imaging spectral unmixing parallel computing GPU OpenCL Pixel Purity Index ISRA
 
Language used: English
Date on which the thesis was submitted / produced: 21. 5. 2018
Identifier: https://is.muni.cz/th/v56cm/

Thesis defence

  • Date of defence: 21. 6. 2018
  • Supervisor: Mgr. Filip Roth
  • Reader: RNDr. Zdeněk Matěj, Ph.D.

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Master programme / field:
Applied Informatics / Applied Informatics

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