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1 October 1990Temperature discrimination of closely spaced objects
Temperature discrimination of closely spaced objects (CSO's) may be a difficult problem for passive sensors with
limited spatial resolution. In this paper, we establish limits on the accuracy of temperature estimation of two closely
spaced point targets having different temperatures, when such targets are observed in several spectral bands. The effect of
a priori knowledge (e.g., emissivities, areas, earthshine) on temperature estimation is discussed. An analytical framework
is developed to establish the fundamental limits on temperature resolution of a passive system, and to obtain a quantitative
understanding of the dependence of estimation accuracy on parameters describing the targets (e.g., temperatures,
emissivities), and on the number of photons available. We examine the sensitivity of temperature estimation to target
parameters and the selection of the number and location of the spectral bands in which the measurements are made. The
advantage of partial resolution of targets in one or more spectral bands is examined. The analysis is carried out for
Poisson photon statistics. The Cramr-Rao bounds (CRB) are computed for the estimation of various parameters
describing a two point source, and to the sensitivity of the CRB to different parameter values, changes in the number of
unknown parameters, and the selection of spectral bands is examined. The results presented provide a more
comprehensive definition of temperature resolution and can be useful in astronomy, multispectral scene analysis, and other
commercial and military applications.
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Jerzy Nowakowski, "Temperature discrimination of closely spaced objects," Proc. SPIE 1305, Signal and Data Processing of Small Targets 1990, (1 October 1990); https://doi.org/10.1117/12.2321757