A distributed spectral-screening PCT algorithm

This paper describes a novel distributed algorithm for use in remote-sensing, medical image analysis, and surveillance applications. The algorithm combines spectral-screening classification with the principal component transform, and human-centered mapping. It fuses a multi- or hyper-spectral image...

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Vydané v:	Journal of parallel and distributed computing Ročník 63; číslo 3; s. 373 - 384
Hlavní autori:	Achalakul, Tiranee, Taylor, Stephen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	San Diego, CA Elsevier Inc 01.03.2003 Elsevier
Predmet:	Applied sciences Artificial intelligence Computer science; control theory; systems Distributed algorithm Exact sciences and technology Pattern recognition. Digital image processing. Computational geometry Performance prediction Principal component transform Spectral angle classification Performance prediction Principal component transform Spectral angle classification Distributed algorithm Hyperspectral imaging sensor Screening Prediction Spectral classification Principal component analysis
ISSN:	0743-7315, 1096-0848
On-line prístup:	Získať plný text
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