Paper
13 July 2000 Multispectral track features for the general case of an unknown target spectral signature
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Abstract
Typically, a tracker receives the position coordinates of the threshold exceedances from the detection process. The threshold nonlinearity serves to prevent superfluous data from entering the tracker; it also prevents other information about a detection from being used by the tracker. Track features were developed to provide a shunt for useful information around the detection threshold. Track features such as the measured C(C+N)R of a detection or local measures of clutter severity have been shown to significantly reduce track confirmation times and the probability of confirming a false track. This paper considers the development of track features for multispectral data. The multispectral track features are used in conjunction with available spatial and temporal track features. Ideally, multispectral track features would provide the tracker with information about how target-like the spectral signature of a detection is. Unfortunately, the spectral signature of the target is unknown a priori because of its dependence upon unmeasured environmental variables, uncertainties in factors effecting the emissivity and reflectivity of the target's surface and unknown operating history. This prevents the general development of a multispectral track features that provide target- likeness. The alternative, which is developed in this paper, is to use the consistency of the spectral signatures of the detections that form a track as a track feature. This multispectral track feature helps suppress the formation of tracks from random detections. It also inhibits a true track from branching to a false detection. Finally, it reduces the true track confirmation time.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul Frank Singer and Hector A. Quevedo "Multispectral track features for the general case of an unknown target spectral signature", Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); https://doi.org/10.1117/12.392010
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KEYWORDS
Target detection

Optical filters

Sensors

Signal processing

Point spread functions

Signal detection

Interference (communication)

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