Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7613
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dc.contributor.authorBogaert, J.-
dc.contributor.authorROUSSEAU, Ronald-
dc.date.accessioned2007-12-20T16:17:46Z-
dc.date.available2007-12-20T16:17:46Z-
dc.date.issued2001-
dc.identifier.citationApplied mathematics and computation, 119. p. 117-126-
dc.identifier.issn0096-3003-
dc.identifier.urihttp://hdl.handle.net/1942/7613-
dc.description.abstractRaster data structures are characterized by pixel geometry and resolution. A method is proposed to reduce resolution to a minimum using spatial aggregation without information loss. The method is based on a matrix approach and developed for a two-dimensional spatial object. Perimeter measures and fractal dimension are shown not to be invariant to spatial aggregation. (C) 2001 Elsevier Science Inc. All rights reserved.-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE INC-
dc.subject.otherSHAPE COMPACTNESS; PERIMETER; NUMBER; fractal dimension; perimeter; pixel geometry; raster data structure; resolution; spatial aggregation-
dc.titleSpatial aggregation of two-dimensional objects in raster data structures-
dc.typeJournal Contribution-
dc.identifier.epage126-
dc.identifier.spage117-
dc.identifier.volume119-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1016/S0096-3003(99)00235-0-
dc.identifier.isi000168075800001-
item.fullcitationBogaert, J. & ROUSSEAU, Ronald (2001) Spatial aggregation of two-dimensional objects in raster data structures. In: Applied mathematics and computation, 119. p. 117-126.-
item.fulltextNo Fulltext-
item.contributorBogaert, J.-
item.contributorROUSSEAU, Ronald-
item.accessRightsClosed Access-
crisitem.journal.issn0096-3003-
crisitem.journal.eissn1873-5649-
Appears in Collections:Research publications
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