Spectral Angle Mapper as a Tool for Matching the Spectra in Hyperspectral Processing

Authors

  • František Racek University of Defence, Brno, Czech Republic
  • Teodor Baláž University of Defence, Brno, Czech Republic

Keywords:

hyperspectral imaging, noise, offset, spectral angle mapper

Abstract

The article deals with analysis of Spectral Angle Mapper (SAM) as a tool for matching the separated endmembers with pure spectra from databases. The analysis of SAM is provided in three spectral regions: VIS, IR and VIS+IR together. Three kinds of available influences are analysed: additive noise, constant offset and slant offset.

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Published

22-02-2022

Issue

Section

Research Paper

How to Cite

Racek, F., & Baláž, T. (2022). Spectral Angle Mapper as a Tool for Matching the Spectra in Hyperspectral Processing. Advances in Military Technology, 7(2), 65-76. https://aimt.cz/index.php/aimt/article/view/1585

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