Virtual Dimensionality Analysis of Hyperspectral Imagery with Noise being Constrained

In dimensionality reduction process of hyperspectral data, intrinsic dimension is normally characterized by virtual dimension. Classic algorithm mainly uses hypothesis-testing criterion to set eigenvalue threshold and correspondingly obtains virtual dimension. But under strong noises, it may not est...

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Bibliographic Details

Published in:	四川大学学报. 自然科学版
Main Authors:	HE Bin-Jun, JIANG Ming-Fei, LUO Xin, WANG Rong
Format:	Article
Language:	English
Published:	Editorial Department of Journal of Sichuan University (Natural Science Edition) 2017-01-01
Subjects:	hyperspectral imagery virtual dimensionality QR decomposition sliding noise detection
Online Access:	http://science.scu.edu.cn/thesisDetails?columnId=45831273&Fpath=home&index=0