Sammon mapping for preliminary analysis in Hyperspectral Imagery

Autor:	Nicolae APOSTOLESCU, Daniela BARAN
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	hyperspectral data Sammon mapping method Euclidian distances non-linear mapping techniques Motor vehicles. Aeronautics. Astronautics TL1-4050
Zdroj:	INCAS Bulletin, Vol 8, Iss 1, Pp 13-21 (2016)
Druh dokumentu:	article
ISSN:	2066-8201 2247-4528
DOI:	10.13111/2066-8201.2016.8.1.2
Popis:	The main goal of this paper is to present the implementation of the Sammon algorithm developed for finding N points in a lower m-dimensional subspace, where the original points are from a high n-dimensional space. This mapping is done so interpoints Euclidian distances in m-space correspond to the distances measured in the n-dimensional space. This method known as non-linear projection method or multidimensional scaling (MDS) aims to preserve the global properties of points. The method is based on the idea of transforming the original, n-dimensional input space into a reduced, m-dimensional one, where m
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/da83aa5ff77a4c63a607c530a1abd195 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF