A three-dimensional discriminant analysis approach for hyperspectral images-Reference-Cited by-同舟云学术

A three-dimensional discriminant analysis approach for hyperspectral images

Published:2020 Issue:17 Volume:145 Page:5915-5924
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Morais Camilo L. M.¹²³⁴^ORCID,Giamougiannis Panagiotis⁵⁶⁷⁴^ORCID,Grabowska Rita¹²³⁴,Wood Nicholas J.⁵⁶⁷⁴,Martin-Hirsch Pierre L.⁵⁶⁷⁴,Martin Francis L.⁸⁹⁴^ORCID

Affiliation:

1. School of Pharmacy and Biomedical Sciences

2. University of Central Lancashire

3. Preston PR1 2HE

4. UK

5. Department of Obstetrics and Gynaecology

6. Lancashire Teaching Hospitals NHS Foundation Trust

7. Preston PR2 9HT

8. Biocel Ltd

9. Hull 10 7TS

Abstract

New algorithms for 3D discriminant analysis developed to provide fast and superior classification performance for hyperspectral images multisets.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/AN/D0AN01328E

Reference34 articles.

1. A three-dimensional principal component analysis approach for exploratory analysis of hyperspectral data: identification of ovarian cancer samples based on Raman microspectroscopy imaging of blood plasma

2. Visible Reflectance Hyperspectral Imaging: Characterization of a Noninvasive, in Vivo System for Determining Tissue Perfusion

3. A Review of Mid-Infrared and Near-Infrared Imaging: Principles, Concepts and Applications in Plant Tissue Analysis

4. Fundamental developments in infrared spectroscopic imaging for biomedical applications

5. Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights

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