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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

1 Citació (Scopus)

Resum

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 originalAnglès
Títol de la publicacióInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings
EditorSpringer Verlag
Pàgines97-106
Nombre de pàgines10
EdicióPART 1
ISBN (imprès)9783319087948
DOIs
Estat de la publicacióPublicada - 2014
Publicat externament
Esdeveniment15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014 - Montpellier, France
Durada: 15 de jul. 201419 de jul. 2014

Sèrie de publicacions

NomCommunications in Computer and Information Science
NombrePART 1
Volum442 CCIS
ISSN (imprès)1865-0929

Conferència

Conferència15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014
País/TerritoriFrance
CiutatMontpellier
Període15/07/1419/07/14

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