@inproceedings{18e6dacebca94171b66d62aa3ab6ad50,
title = "Edge detection in hyperspectral imaging: multivariate statistical approaches",
abstract = "Edgedetectioniswelldevelopedareaofimageanalysis.Manyvariouskindsoftechniquesweredesignedforone-channelimages.Also,aconsiderableattentionwaspaidtoedgedetectionincolor,multispectral,andhyperspectralimages.However,therearestillmanyopenissuesinedgedetectioninmultichannelimages.Forexample,eventhede¿nitionofmultichanneledgeisratherempiricalandisnotwellestablished.Inthispaperstatisticalpatternrecognitionmethodologyisusedtoapproachtheproblemofedgedetectionbyconsideringimagepixelsaspointsinamultidimensionalfeaturespace.Appropriatemultivariatetechniquesareusedtoretrieveinformationwhichcanbeusefulforedgedetection.Theproposedapproachesweretestedonthereal-worlddata.",
keywords = "conference contrib. refereed, CWTS 0.75 <= JFIS < 2.00",
author = "S Verzakov and P Paclik and RPW Duin",
year = "2006",
language = "Undefined/Unknown",
isbn = "3-540-37236-9",
publisher = "Springer",
pages = "551--559",
editor = "DY Yeung and JT Kwok and A Fred and F Roli and {de Ridder}, D",
booktitle = "Structural, syntactic and statistical pattern recognition",
note = "Joint IAPR International Workshops SSPR 2006 and SPR 2006, Hong Kong, China ; Conference date: 17-08-2006 Through 19-08-2006",
}