A New Application of Hyperspectral Techniques in Drug Classification

  • Shih-Yu ChenEmail author
  • Yen-Chung Chen
  • Chou-Tien Lien
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 110)


Different from the traditional RGB images, the hyperspectral sensors provide near-infrared signal which is gradually being applied in many fields. In the early days, hyperspectral signals were more commonly used for military purposes, but with the increase in optical spectroscopic technology, hyperspectral instruments were gradually applied to the general public, including medical images, food and agriculture. In the medical field, the hyperspectral signal can be used for public identification of unknown drugs, and after the detection of hyperspectral instruments and algorithms, the medication information is provided to the users. The experimental results show that our proposed method is effective to the drug classification using hyperspectral sensors.


Hyperspectral Constrained Energy Minimization Band selection Drug 


  1. 1.
  2. 2.
    Chang, C.-I.: Hyperspectral Imaging: Techniques for Spectral detection and Classification. Kluwer Academic/Plenum Publishers, New York (2003)CrossRefGoogle Scholar
  3. 3.
    Harsanyi, J.C.: Detection and classification of subpixel spectral signatures in hyperspectral image sequences. Ph.D dissertation, Department of Electrical Engineering, University of Maryland, Baltimore County (1993)Google Scholar
  4. 4.
    Frost III, O.L.: An algorithm for linearly constrained adaptive array processing. Proc. IEEE 60, 926–935 (1972)CrossRefGoogle Scholar
  5. 5.
    Chang, C.-I.: Hyperspectral Data Processing: Algorithm Design and Analysis. Wiley, London (2013)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and Information EngineeringNational Yunlin University of ScienceDouliuTaiwan

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