Hyperspectral image analysis. A tutorial

被引：229
作者：
Amigo, Jose Manuel [1 ]
Babamoradi, Hamid [1 ]
Elcoroaristizabal, Saioa [1 ,2 ]
机构：
[1] Univ Copenhagen, Fac Sci, Dept Food Sci, Spect & Chemometr Grp, DK-1958 Frederiksberg C, Denmark
[2] Univ Basque Country, Sch Engn, Chem & Environm Engn Dept, E-48013 Bilbao, Spain
来源：
ANALYTICA CHIMICA ACTA | 2015年 / 896卷
关键词：
Hyperspectral; Near infrared; Chemometrics; Classification; Plastic sorting; Flame retardant; MULTIVARIATE CURVE RESOLUTION; BROMINATED FLAME RETARDANTS; LEAST-SQUARES; CHEMOMETRIC STRATEGIES; QUALITY ATTRIBUTES; FORENSIC ANALYSIS; NIR-CI; CLASSIFICATION; LINE; FOOD;
D O I：
10.1016/j.aca.2015.09.030
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
This tutorial aims at providing guidelines and practical tools to assist with the analysis of hyperspectral images. Topics like hyperspectral image acquisition, image pre-processing, multivariate exploratory analysis, hyperspectral image resolution, classification and final digital image processing will be exposed, and some guidelines given and discussed. Due to the broad character of current applications and the vast number of multivariate methods available, this paper has focused on an industrial chemical framework to explain, in a step-wise manner, how to develop a classification methodology to differentiate between several types of plastics by using Near infrared hyperspectral imaging and Partial Least Squares - Discriminant Analysis. Thus, the reader is guided through every single step and oriented in order to adapt those strategies to the user's case. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：34 / 51
页数：18
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