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.

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• Item metadata

  Item type:	Conference or Workshop Item(Poster)
  ID code:	52111
  Dates:	Date Event September 2014 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	05 Mar 2015 14:41
  Last modified:	09 Apr 2024 06:05
  Related URLs:	Organisation Event
  URI:	https://strathprints.strath.ac.uk/id/eprint/52111