Imagery spatial performance throughput correction methodology

Daniel T. Fang; Jeff Puschell

doi:10.1117/12.860740

26 August 2010 Imagery spatial performance throughput correction methodology

Daniel T. Fang, Jeff Puschell

Proceedings Volume 7813, Remote Sensing System Engineering III; 78130G (2010) https://doi.org/10.1117/12.860740
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

This paper illustrates the pros and cons of a methodology that used test bars for throughput signal equalization. We also introduce a special test equipment (STE) plate scale for spatial measurement, which is recommended not only for its performance, but also for simplicity of implementation. The line spread function (LSF) is a classical figure of merit used to derive the modulation transfer function (MTF) of an imaging sensor. The test requires that a uniform light source be used to project test bars into the sensor via an integrating sphere to construct LSF curve. However, source uniformity through the test bars is not easily achieved. Test results will be adversely affected in cases where either the integrating sphere provides less than 100 percent uniformity in temporal brightness for the various wavelength applications, or where the test bars have been physically warped (on a scale of microns) due to supplier producibility variation. To effectively utilize the existing STE, Raytheon applied a test-bar throughput signal equalization method to correct for the light source and/or test bar dimensional non-uniformity errors during the spatial performance evaluation. The successful approach compensated for the STE limitations without incurring expenditures for new custom-made equipment.

Citation Download Citation

Daniel T. Fang and Jeff Puschell "Imagery spatial performance throughput correction methodology", Proc. SPIE 7813, Remote Sensing System Engineering III, 78130G (26 August 2010); https://doi.org/10.1117/12.860740

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