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5 September 1989 Single-Frame Velocity Estimation
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Abstract
When 2-D sampled fields of view are generated by staring or scanning arrays of IR detectors, the motion of an unresolved point object is usually measured in terms of changes in position estimates in a series of two or more successive fields, or "frames" of sampled data. However, when motion is pronounced enough to affect data in a single frame, velocity can be estimated from its effect on data. Investigation of motion on the order of 0.10 detector subtense (DS) per detector integration time (DIT) has shown that velocity can be estimated jointly with position to within a small percentage of the actual velocity at a signal to noise ratio (SNR) of 10.0. A linear recursive maximum liklihood estimator, used for position and intensity, is described and extended to encompass the joint estimation of velocity from a single frame of data. Estimation precision is demonstrated by a Monte Carlo approach based on simulation of the estimation process.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James L. Jenkins and Stephen F. Rudin "Single-Frame Velocity Estimation", Proc. SPIE 1096, Signal and Data Processing of Small Targets 1989, (5 September 1989); https://doi.org/10.1117/12.960335
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