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An active contour algorithm for spectrogram track detection
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DOI：10.1016/j.patrec.2009.09.021.png)
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摘要
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This paper proposes an active contour framework for spectrogram track detection. A potential energy is proposed which results in feature extraction at a signal-to-noise ratio (SNR) of 0.5 dB. We show, through complexity analysis, that this is achievable in real-time. (C) 2009 Elsevier B.V. All rights reserved.
Keyword:
Active contour
Periodic time series
Remote sensing
Low signal-to-noise ratio
Spectrogram
Statistical pattern recognition
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