Lampert, Thomas and O'Keefe, Simon orcid.org/0000-0001-5957-2474 (2010) An active contour algorithm for spectrogram track detection. Pattern Recognition Letters. pp. 1201-1206.
Abstract
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.
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2009 Elsevier. This is an author produced version of the published paper. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Active contour, Periodic time series, Remote sensing, Low signal-to-noise ratio, Spectrogram, Statistical pattern recognition |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 07 Jun 2012 12:05 |
Last Modified: | 05 Feb 2024 00:17 |
Published Version: | https://doi.org/10.1016/j.patrec.2009.09.021 |
Status: | Published |
Refereed: | Yes |
Identification Number: | https://doi.org/10.1016/j.patrec.2009.09.021 |
Related URLs: |