A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets
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An algorithm for detecting moving targets by imaging sensors and estimating their trajectories is proposed. The algorithm is based on directional filtering in the frequency domain, using a bank of filters for all possible target directions. The directional filtering effectively integrates the target signal, resulting in an improved signal-to-noise ratio. Working in the frequency domain facilitates a considerable reduction in computational requirements compared to time-domain algorithms. The algorithm is described in detail, and its false alarm and detection probabilities are analyzed.
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Index Terms:
fast Fourier transforms; computerised picture processing; multiframe estimation; trajectories estimation; frequency domain algorithm; multiframe detection; dim targets; moving targets; imaging sensors; directional filtering; detection probabilities; computerised picture processing; fast Fourier transforms; filtering and prediction theory; tracking systems
Citation:
B. Porat, B. Friedlander, "A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 4, pp. 398-401, Apr. 1990, doi:10.1109/34.50625
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