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Laboratory Hyperspectral Image Acquisition System Setup and Validation.

Alejandro Morales1, Pablo Horstrand1, Raúl Guerra1

  • 1Institute of Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, 35003 Las Palmas de Gran Canaria, Spain.

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|March 26, 2022
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Summary

A custom hyperspectral imaging system was developed for laboratory analysis. This system enables precise spectral signature extraction from various samples, crucial for developing outdoor algorithms.

Keywords:
aberrationshyperspectral imagesimage acquisitionvalidation

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Area of Science:

  • Remote Sensing
  • Spectroscopy
  • Optical Engineering

Background:

  • Hyperspectral Imaging (HSI) offers valuable data across diverse fields like agriculture and environmental science.
  • Laboratory-based sample analysis is essential for developing robust outdoor HSI algorithms.
  • Precise spectral characteristic extraction requires dedicated acquisition systems.

Purpose of the Study:

  • To describe a custom-built scanning system for hyperspectral image acquisition.
  • To integrate commercially available components into a flexible HSI infrastructure.
  • To validate the system's performance using established hyperspectral cameras and sample libraries.

Main Methods:

  • A custom scanning system was designed using commercially available components and gigabyte Ethernet.
  • The system supports Generic Interface for Cameras (GenICam) compliant devices.
  • A Graphical User Interface (GUI) was developed for system control and data visualization.
  • Specim FX hyperspectral cameras (FX10, FX17) were utilized for testing.
  • Morphological analysis, spectral response, and optical aberrations were evaluated.
  • System validation involved spectral signature extraction from plastic samples and comparison with spectral libraries.

Main Results:

  • The developed system successfully acquired hyperspectral data using Specim FX cameras.
  • The Graphical User Interface facilitated component control and data visualization.
  • Morphological, spectral, and optical characteristics of the cameras were assessed.
  • Extracted spectral signatures from plastic samples were comparable to known spectral libraries, validating the system's efficacy.

Conclusions:

  • The custom-built hyperspectral imaging system provides a flexible and effective platform for laboratory-based spectral analysis.
  • The system enables precise spectral signature extraction, supporting the development of advanced outdoor HSI applications.
  • The successful validation demonstrates the system's capability for accurate material identification and characterization.