Efficient Algorithms for Large-Scale Image Analysis
This work develops highly efficient algorithms for analyzing large images. Applications include object-based change detection and screening. The algorithms are 10-100 times as fast as existing software, sometimes even outperforming FGPA/GPU hardware, because they are designed to suit the computer ar...
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| Hoofdauteur: | |
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| Formaat: | Elektronisch Hoofdstuk |
| Taal: | Engels |
| Gepubliceerd in: |
KIT Scientific Publishing
2012
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| Reeks: | Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
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| Onderwerpen: | |
| Online toegang: | DOAB: download the publication DOAB: description of the publication |
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| Samenvatting: | This work develops highly efficient algorithms for analyzing large images. Applications include object-based change detection and screening. The algorithms are 10-100 times as fast as existing software, sometimes even outperforming FGPA/GPU hardware, because they are designed to suit the computer architecture. This thesis describes the implementation details and the underlying algorithm engineering methodology, so that both may also be applied to other applications. |
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| Fysieke beschrijving: | 1 electronic resource (XVIII, 201 p. p.) |
| ISBN: | KSP/1000025309 9783866447868 |
| Toegang: | Open Access |