An active contour algorithm for spectrogram track detection

Thomas Lampert; Simon O'Keefe

doi:10.1016/j.patrec.2009.09.021

An active contour algorithm for spectrogram track detection

Thomas Lampert, Simon O'Keefe

Computer Science

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1201-1206
Number of pages	6
Journal	Pattern Recognition Letters
Volume	31
Issue number	10
DOIs	https://doi.org/10.1016/j.patrec.2009.09.021
Publication status	Published - 15 Jul 2010
Event	PRRS 2008 Fifth IAPR Workshop on Pattern Recognition in Remote Sensing - Tampa, Florida, United States Duration: 7 Dec 2008 → …

Bibliographical note

Keywords

Active contour
Periodic time series
Remote sensing
Low signal-to-noise ratio
Spectrogram
Statistical pattern recognition

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10.1016/j.patrec.2009.09.021

Lampert10ActiveContourSpectrogramTrackDetectionAccepted author manuscript, 1.11 MB

http://www.sciencedirect.com/science/article/pii/S0167865509002554

Cite this

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title = "An active contour algorithm for spectrogram track detection",

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.",

keywords = "Active contour, Periodic time series, Remote sensing, Low signal-to-noise ratio, Spectrogram, Statistical pattern recognition",

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KW - Periodic time series

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KW - Low signal-to-noise ratio

KW - Spectrogram

KW - Statistical pattern recognition

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An active contour algorithm for spectrogram track detection

Abstract

Bibliographical note

Keywords

Access to Document

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