Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method

Qiao, Tong and Ren, Jinchang and Zabalza, Jaime and Craigie, Cameron and Maltin, Charlotte and Marshall, Stephen (2014) Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method. In: Farm Animal IMaging (FAIM), 2014-09-25 - 2014-09-26.

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Abstract

Hyperspectral imaging (HSI) is an emerging platform technology that integrates conventional imaging and spectroscopy to attain both spatial and spectral information from an object. In recent years, HSI has rapidly matured into one of the most powerful tools for food quality analysis and control. In the project, HSI has been applied for beef eating quality evaluation. Pre-processing of HSI spectral profiles is needed, in order to eliminate undesired noises. Singular spectrum analysis (SSA) will be demonstrated to be an effective pre-processing step in de-noising HSI spectra.

ORCID iDs

Qiao, Tong ORCID logoORCID: https://orcid.org/0000-0001-7527-7897, Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Zabalza, Jaime ORCID logoORCID: https://orcid.org/0000-0002-0634-1725, Craigie, Cameron, Maltin, Charlotte and Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628;
CORE (COnnecting REpositories)