Calibrating and characterizing intensified video cameras radiometrically

Harold R. Suiter; Chuong N. Pham; Kenneth R. Tinsley

doi:10.1117/12.489852

11 September 2003 Calibrating and characterizing intensified video cameras radiometrically

Harold R. Suiter, Chuong N. Pham, Kenneth R. Tinsley

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Proceedings Volume 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII; (2003) https://doi.org/10.1117/12.489852
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Multispectral, hyperspectral, and polarization filters have been shown to provide additional discriminants when searching for mines and other obstacles, but they demand more illumination for the sensing system. Conventional CCD video cameras, when used through such filters, fail at sunset or soon after. It is tempting to employ an automatic-gain intensified camera to push this time deeper into the night (especially with artificial illumination) but relating the response between different images or different channels, possibly taken at different gain, is not as straightforward as it is with a bare-silicon CCD. Over the last several years, Coastal Systems Station has developed a set of simple system characterization and calibration procedures that enable using an intensified video camera as a serviceable imaging radiometer. Parameters from this calibration procedure are easily inserted into predictive models and images are directly comparable using them. These methods will be described, especially as they apply to the camera used in the recent Airborne Laser Diode Array Illuminator (ALDAI) tests. Minimum data that must be monitored in the camera will also be listed.

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Harold R. Suiter, Chuong N. Pham, and Kenneth R. Tinsley "Calibrating and characterizing intensified video cameras radiometrically", Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); https://doi.org/10.1117/12.489852

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KEYWORDS

Cameras

Calibration

Video

CCD cameras

Optical filters

Signal to noise ratio

Imaging systems

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