Abstract

A signal-to-noise performance of an imaging Michelson interferometer based on corner cubes is modeled and experimental results are presented. The influence from the background radiation of the uncooled sensor is explained. The noise equivalent spectral radiance is determined in the 700 to 1300 cm − 1 range at two spectral resolutions using blackbody sources. The performance of the sensor system is tested on a scene at an average temperature of 19°C. From these results, the performance is given in terms of number of samples and spectral resolution. The performance model is used to predict the sensor performance at different scene temperatures.

Highlights

  • The properties of the corner-cube interferometer were analyzed at an early stage.[1]

  • The responsivity of each pixel must be the same to a high accuracy. This is difficult to achieve by a nonuniformity correction (NUC) process, and some signal-to-noise ratio (SNR) degradation is expected

  • A theoretical model and experimental results are reported for the imaging spectrometer described

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Summary

Introduction

The properties of the corner-cube interferometer were analyzed at an early stage.[1]. The signal-to-noise and imaging characteristics of interferometric instruments compared to dispersive spectrometers are important issues. In the thermal spectral region, dispersive instruments are sensitive to internal radiation from the slit mount, grating losses, etc. The signal may almost disappear depending on potential difference in emissivity between the intrinsic source and the object being studied. An interesting class of sensors are the microbolometer cameras Even for these high temperature sensors, the sensitivity can be

Sensor System Model
Experimental Methods
Discussion and Conclusion
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