A New Time Series Mining Approach Applied to Multitemporal Remote Sensing Imagery

In this paper, we present a novel unsupervised algorithm, called CLimate and rEmote sensing Association patteRns Miner, for mining association patterns on heterogeneous time series from climate and remote sensing data integrated in a remote sensing information system developed to improve the monitor...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2013-01, Vol.51 (1), p.140-150
Hauptverfasser:	Romani, L. A. S., de Avila, A. M. H., Chino, D. Y. T., Zullo, Jurandir, Chbeir, R., Traina, Caetano, Traina, A. J. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Applied geophysics Association rules Data mining Earth sciences Earth, ocean, space Exact sciences and technology image information mining Indexes Internal geophysics Meteorology NOAA-AVHRR images Remote sensing Satellites sequential patterns Time series analysis
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