Analysis Techniques For Two-Dimensional Infrared Data

E. M. Winter; M. C. Smith

doi:10.1117/12.956757

12 December 1978 Analysis Techniques For Two-Dimensional Infrared Data

E. M. Winter, M. C. Smith

Author Affiliations +

Proceedings Volume 0156, Modern Utilization of Infrared Technology IV; (1978) https://doi.org/10.1117/12.956757
Event: 22nd Annual Technical Symposium, 1978, San Diego, United States

Abstract

In order to evaluate infrared detection and remote sensing systems, it is necessary to know the characteristics of the observational environment. For both scanning and staring sensors, the spatial characteristics of the background may be more of a limitation to the performance of a remote sensor than system noise. This limitation is the so-called spatial clutter limit and may be important for systems design of many earth application and surveillance sensors. The data used in this study is two dimensional radiometric data obtained as part of continuing NASA remote sensing programs. Typical data sources are the LANDSAT Multi-Spectral Scanner (1.1 micrometers), the airborne Heat Capacity Mapping Radiometer (10.5 - 12.5 micrometers) and various infrared data sets acquired by low altitude aircraft. Techniques used for the statistical analysis of one dimensional infrared data, such as Power Spectral Density (PSD), exceedance statistics, etc. are investigated for two dimensional applicability. Also treated are two dimensional extensions of these techniques (2D PSD, etc.), and special techniques developed for the analysis of 2D data.

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E. M. Winter and M. C. Smith "Analysis Techniques For Two-Dimensional Infrared Data", Proc. SPIE 0156, Modern Utilization of Infrared Technology IV, (12 December 1978); https://doi.org/10.1117/12.956757

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