Correlated two-color midinfrared background characteristics

Richard B. Sanderson; Frank O. Baxley; Joel B. Montgomery

doi:10.1117/12.392517

24 July 2000 Correlated two-color midinfrared background characteristics

Richard B. Sanderson, Frank O. Baxley, Joel B. Montgomery

Proceedings Volume 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process; (2000) https://doi.org/10.1117/12.392517
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

Multicolor discrimination techniques provide a useful approach to suppressing background clutter and reducing false alarm rates in warning sensors. To assess discrimination performance, it is necessary to understand the statistics of each band as well as inter-band correlations. This paper describes the background measurements from an airborne platform collected using a two-color prototype staring missile- warning sensor. The sensor is a commercial 256x256 InSb camera with filter wheel integrated into a 90 deg by 90 deg. optic. The two colors lie in the carbon dioxide red spike region and in the window region below 4 micrometers. These bands are useful for detecting the combustion of hydrocarbons in the presence of background clutter. The sensor looks straight down from the aircraft and data is collected at frame rates from 10 to 100 Hz. Extensive background data has been collected over a wide range of scenes representing industrial, urban, rural, mountainous, and shoreline terrain. The data has been analyzed to provide correlated statistics of these spectral bands for both the underlying background structure and discrete false alarm sources. This data provides a basis for estimating the performance of spectral discrimination and optimizing processing algorithms for the suppression of clutter and rejection of false alarms.

Citation Download Citation

Richard B. Sanderson, Frank O. Baxley, and Joel B. Montgomery "Correlated two-color midinfrared background characteristics", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); https://doi.org/10.1117/12.392517

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