Sampling criteria for sensor simulation
Abstract
Electro-optic sensor simulation and sensor design require a common understanding of spatial sampling. As part of the development of a high fidelity sensor simulation, the U.S. Army Night Vision Electronic Sensors Directorate has developed a methodology that enables the simulation designer to minimize the spatial sampling rate of the input image based on the sensor parameters. Gabor information theory is used to define the limit imposed on the ability to simultaneously represent a spatial function and its Fourier transform. This is then coupled with the necessary consequences of sampling the image to develop limits that ensure minimal error. Resolution requirements for synthetic presensor imagery can be developed using this formalism. These requirements are not based on the instantaneous field of view (IFOV) or on the detector width alone but are based on the full sensor point spread function.
Publication Title
Optical Engineering
Recommended Citation
Jacobs, E., & Edwards, T. (1999). Sampling criteria for sensor simulation. Optical Engineering (5), 827-835. https://doi.org/10.1117/1.602280
