DOI: 10.11606/t.3.2016.tde-15122016-082121
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Segmentação multiresolução variográfica ótima.

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Cited by 1 publication
(2 citation statements)
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References 39 publications
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“…Our adaptation and implementation of the Baatz algorithm made available trough an R package is shown to be effective for the segmentation of geospatial data [Costa 2016]. Our test data has shown that the implementation is able to divide the virtual landscape defined by complex factors in regions with homogenous characteristics which has its applicability in the effective management of agricultural land use.…”
Section: Discussionmentioning
confidence: 99%
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“…Our adaptation and implementation of the Baatz algorithm made available trough an R package is shown to be effective for the segmentation of geospatial data [Costa 2016]. Our test data has shown that the implementation is able to divide the virtual landscape defined by complex factors in regions with homogenous characteristics which has its applicability in the effective management of agricultural land use.…”
Section: Discussionmentioning
confidence: 99%
“…In this work one such algorithm, Baatz [Baatz and Schape 2000], is implemented and applied to geospatial multi-scale and multi-spectral production data segmentation. The resulting segments can then be used as part of a larger decision system to divide the land into manageable areas with similar characteristics, such as soil, vegetation and climate factors, that otherwise would be difficult to separate visually [Saraiva 2003, Costa 2016].…”
Section: Introductionmentioning
confidence: 99%