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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Veröffentlicht in:	Journal of parallel and distributed computing Jg. 63; H. 3; S. 373 - 384
Hauptverfasser:	Achalakul, Tiranee, Taylor, Stephen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Diego, CA Elsevier Inc 01.03.2003 Elsevier
Schlagworte:	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
Online-Zugang:	Volltext
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