Comparaison des chemins de Hilbert adaptatif et des graphes de voisinage pour la caractérisation d'un parcellaire agricole

Abstract : This article focuses on the comparison of approaches for spatial patterns mining. It deals with agricultural fields, which are mined in two ways, 1) by a fractal linearization method of space which provides a sequence of fields and 2) by the construction of a neighborhood graph. These representations are then used by enumeration algorithms to extract "bags of nodes" (BoN). The results suggest that the linearization of space captures most of the information - except some rare elements - about the organization of agricultural fields.
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Conference papers
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https://hal.inria.fr/hal-00916964
Contributor : Thomas Guyet <>
Submitted on : Wednesday, December 11, 2013 - 9:34:55 AM
Last modification on : Tuesday, December 18, 2018 - 4:38:02 PM

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  • HAL Id : hal-00916964, version 1

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Thomas Guyet, Florence Le Ber, Sébastien da Silva, Claire Lavigne. Comparaison des chemins de Hilbert adaptatif et des graphes de voisinage pour la caractérisation d'un parcellaire agricole. Conférence Extraction et Gestion de Connaissances, Jan 2014, Rennes, France. ⟨hal-00916964⟩

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