Quantitative detection of turbid media components using textural features extracted from hyperspectral images-Reference-Cited by-同舟云学术

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Quantitative detection of turbid media components using textural features extracted from hyperspectral images

Published:2019-09 Issue: Volume:149 Page:104009
ISSN:0026-265X
Container-title:Microchemical Journal
language:en
Short-container-title:Microchemical Journal

Author:

Zhao Zhe,Yan Wen,Yin Haoran,Batool Amreen,Wang Huiquan,Yu Hui

Funder

National Natural Science Foundation of China

Key Technologies R&D Program

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Spectroscopy,Analytical Chemistry

Reference20 articles.

1. Near infrared hyperspectral imaging and MCR-ALS applied for mapping chemical composition of the wood specie Swietenia Macrophylla King (Mahogany) at microscopic level;Colares;Microchem. J.,2016

2. Imaging spectrometry for earth remote sensing;Goetz;Science (New York, N.Y.),1985

3. Recent advances for rapid identification of chemical information of muscle foods by hyperspectral imaging analysis;Chen;Food Eng. Rev.,2016

4. Rapid inversion of heavy metal concentration in karst grain producing areas based on hyperspectral bands associated with soil components;Lu;Microchem. J.,2019

5. NIR hyperspectral imaging spectroscopy and chemometrics for the discrimination of roots and crop residues extracted from soil samples;Eylenbosch;J. Chemom.,2018

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