Grouped frequent sequential patterns derived from terrestrial image time series tomonitor landslide behaviour – Application to the dynamics of the Sanières/Roche Plombée rockslide. - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

Grouped frequent sequential patterns derived from terrestrial image time series tomonitor landslide behaviour – Application to the dynamics of the Sanières/Roche Plombée rockslide.

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Machine Learning [cs.LG] Geophysics [physics.geo-ph] Signal and Image Processing

Nicolas Méger  : Connect in order to contact the contributor

https://hal.science/hal-01306556

Submitted on : Monday, April 25, 2016-8:51:33 AM

Last modification on : Wednesday, September 4, 2024-5:34:06 PM

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hal-01306556 , version 1 (25-04-2016)

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  • HAL Id : hal-01306556 , version 1

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Youen Pericault, Catherine Pothier, Nicolas Méger, Emmanuel Trouvé, Flavien Vernier, et al.. Grouped frequent sequential patterns derived from terrestrial image time series tomonitor landslide behaviour – Application to the dynamics of the Sanières/Roche Plombée rockslide.. Geophysical Research Abstracts - EGU General Assembly 2016, Apr 2016, Vienna, Austria. pp.1-1. ⟨hal-01306556⟩

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