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An active hyperspectral sensor (AHS) was developed for target detection. This system uses a tunable filter for spectral discrimination, achieving high precision and stability for real-world road and object identification.

Keywords:
FPIhyperspectrallidarremote sensingsupercontinuum

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Area of Science:

  • Optics and Photonics
  • Sensor Technology
  • Spectroscopy

Background:

  • Active hyperspectral sensing offers advanced capabilities for target detection and classification.
  • Supercontinuum light sources provide broadband illumination for spectral analysis.
  • Miniaturized tunable filters are crucial for compact and efficient spectral discrimination.

Purpose of the Study:

  • To develop and evaluate an active hyperspectral sensor (AHS) for target detection and classification.
  • To utilize a voltage-tunable MEMS Fabry-Pérot Interferometer (FPI) for spectral discrimination.
  • To assess the sensor's performance in laboratory and field conditions.

Main Methods:

  • Illumination of targets using a broadband near-infrared supercontinuum (SC) light source.
  • Spectral filtering via a voltage-tunable MEMS Fabry-Pérot Interferometer (FPI).
  • Implementation of a non-dispersive reference detector for SC instability correction.

Main Results:

  • Demonstrated laboratory precision of 0.1% and long-term stability better than 0.5%.
  • Successful field measurements with the prototype mounted on a vehicle.
  • Distinguished various road types and objects based on spectral response.

Conclusions:

  • The developed AHS is effective for target detection and classification.
  • The FPI-based spectral discrimination is precise and stable.
  • The sensor shows promise for real-world applications in object and material identification.