Comparison between orthogonal subspace projection and background subtraction techniques applied to remote-sensing data

NCUIR > College of Earth Sciences > Graduate Institute of Space Science > journal & Dissertation > Item 987654321/32917

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32917

Title:	Comparison between orthogonal subspace projection and background subtraction techniques applied to remote-sensing data
Authors:	Ben-David,A;Ren,H
Contributors:	太空科學研究所
Keywords:	IMAGE CLASSIFICATION;PLUMES
Date:	2005
Issue Date:	2010-07-07 10:22:22 (UTC+8)
Publisher:	中央大學
Abstract:	The basic measurement equation r = B + alpha d + n is solved for a (the weight or abundance of the spectral target vector d) by two methods: (a) by subtracting the stochastic spectral background vector B from the spectral measurement's vector r (subtracti
Relation:	APPLIED OPTICS
Appears in Collections:	[Graduate Institute of Space Science] journal & Dissertation

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