Video rate nine-band multispectral short-wave infrared sensor

Area of Science:

• Optics and Photonics
• Remote Sensing
• Image Processing

Background:

• Short-wave infrared (SWIR) imaging is crucial for surveillance and reconnaissance due to reduced atmospheric scatter and unique material spectral responses.
• Current SWIR systems typically provide either full motion video (framing systems) or spectral data cubes (hyperspectral/multispectral systems), creating a gap in capabilities.
• There is a need for systems that combine high-speed imaging with spectral information within the SWIR range.

Purpose of the Study:

• To develop and characterize a novel SWIR imaging system that bridges the gap between video and hyperspectral/multispectral data.
• To provide nine-band spectral images at a high frame rate (30 Hz).
• To demonstrate a simulation technique for optimizing future SWIR sensor band selection.

Main Methods:

• Integration of a custom filter array onto a commercial SWIR InGaAs sensor.
• Characterization of the integrated system, including precise filter placement and spectral response measurements.
• Development of a simulation technique for band selection optimization.

Main Results:

• Successful development and characterization of a nine-band SWIR imaging system operating at 30 Hz.
• Accurate measurement of filter placement and spectral response.
• Demonstration of a simulation method for future band selection.

Conclusions:

• The developed system effectively combines high-speed imaging with spectral data acquisition in the SWIR range.
• The characterization and simulation methods provide valuable insights for designing next-generation SWIR sensors.
• This technology has significant potential for enhancing surveillance and reconnaissance capabilities.