Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas

Fabio Guttler, Dino Ienco, Maguelonne Teisseire, Jordi Nin, Pascal Poncelet

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Nowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the different natural habitats and farming practices in a remote way. However, satellite images content strongly depends on the season of the acquisition. Due to the periodicity of natural and agricultural dynamics throughout seasons, sequential patterns arise as a new opportunity to model the behaviour of these environments. In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using k-partite graphs and sequential patterns extracted from segmented Landsat images.

Idioma originalInglés
Título de la publicación alojadaInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings
EditorialSpringer Verlag
Páginas97-106
Número de páginas10
EdiciónPART 1
ISBN (versión impresa)9783319087948
DOI
EstadoPublicada - 2014
Publicado de forma externa
Evento15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014 - Montpellier, Francia
Duración: 15 jul 201419 jul 2014

Serie de la publicación

NombreCommunications in Computer and Information Science
NúmeroPART 1
Volumen442 CCIS
ISSN (versión impresa)1865-0929

Conferencia

Conferencia15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014
País/TerritorioFrancia
CiudadMontpellier
Período15/07/1419/07/14

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