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Hyperspectral image analysis. When space meets Chemistry
Author(s) -
Juan Anna
Publication year - 2018
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.2985
Subject(s) - hyperspectral imaging , image (mathematics) , computer science , spatial analysis , field (mathematics) , space (punctuation) , image fusion , remote sensing , data science , data mining , artificial intelligence , mathematics , geography , pure mathematics , operating system
Hyperspectral images provide spatial and structural information on samples. This article aims at providing an overview on hyperspectral image analysis research trends, mainly focusing on specific aspects related to this kind of analytical measurement, such as the global/local and the spectral/spatial dualities, the hurdles associated with image fusion strategies, and the design of tools devoted to enhance the spatial definition provided by the instrumental measurement. The complexity of the measurement and the wealth of possibilities to use image properties and information ensure a very lively field of research for the coming years.