Space-Variant PSF Model of a Spirally-Scanning IR System

Timothy G. Bates; Michael K. Giles

doi:10.1117/12.936509

10 December 1986 Space-Variant PSF Model of a Spirally-Scanning IR System

Timothy G. Bates, Michael K. Giles

Proceedings Volume 0685, Infrared Technology XII; (1986) https://doi.org/10.1117/12.936509
Event: 30th Annual Technical Symposium, 1986, San Diego, United States

Abstract

Linear systems theory combined with Fourier transform techniques provides a powerful means to characterize electro-optical systems. We present the description and analysis of a particular scanning IR system whose characteristic Point Spread Function (PSF) is space-variant. This peculiarity of the PSF arises from the scanning geometry; the IR sensor spins as it drops toward the ground. A system impulse response, or Point Spread Function (PSF), is derived from effects including diffraction, motion blur, chromatic aberration and detector area. Other effects may be taken into account by cascading PSF's. Once the system PSF is determined, the output of the system is the convolution of the input irradiance with the PSF. Alternatively, the output is the familiar inverse Fourier transform of the product of transforms. However, the space-variance of the PSF makes the latter option impossible and the former difficult. The convolution progresses in a spiral manner, with the PSF width changing continuously. The method is tested using Fortran programs and a digital image processor. The digital images produced show expected results, revealing a marked increase in resolution as the sensor nears the ground.

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Timothy G. Bates and Michael K. Giles "Space-Variant PSF Model of a Spirally-Scanning IR System", Proc. SPIE 0685, Infrared Technology XII, (10 December 1986); https://doi.org/10.1117/12.936509

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KEYWORDS

Point spread functions

Infrared imaging

Sensors

Convolution

Infrared technology

Computer simulations

Fourier transforms

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