HEAL DSpace

The potential of XML encoding in geomatics converting raster images to XML and SVG

Αποθετήριο DSpace/Manakin

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dc.contributor.author Antoniou, B en
dc.contributor.author Tsoulos, L en
dc.date.accessioned 2014-03-01T11:44:43Z
dc.date.available 2014-03-01T11:44:43Z
dc.date.issued 2006 en
dc.identifier.issn 0098-3004 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/37121
dc.subject Classification en
dc.subject Open standards en
dc.subject Raster image encoding en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.classification Geosciences, Multidisciplinary en
dc.subject.other Data acquisition en
dc.subject.other Database systems en
dc.subject.other Image coding en
dc.subject.other Open systems en
dc.subject.other Vectors en
dc.subject.other XML en
dc.subject.other Geomatics en
dc.subject.other Open standards en
dc.subject.other Raster image encoding en
dc.subject.other Geographic information systems en
dc.subject.other Data acquisition en
dc.subject.other Database systems en
dc.subject.other Geographic information systems en
dc.subject.other Image coding en
dc.subject.other Open systems en
dc.subject.other Vectors en
dc.subject.other XML en
dc.subject.other image processing en
dc.subject.other raster en
dc.subject.other spatial data en
dc.title The potential of XML encoding in geomatics converting raster images to XML and SVG en
heal.type other en
heal.identifier.primary 10.1016/j.cageo.2005.06.004 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.cageo.2005.06.004 en
heal.language English en
heal.publicationDate 2006 en
heal.abstract The evolution of open standards and especially those pertaining to the family of XML technologies, have a considerable impact on the way the Geomatics community addresses the acquisition, storage, analysis and display of spatial data. The most recent version of the GML specification enables the merging of vector and raster data into a single ""open"" format. The notion of ""coverage"" as described in GML 3.0 can be the equivalent of a raster multi-band dataset. In addition, vector data storage is also described in detail through the GML Schemas and XML itself can store the values of a raster dataset, as values of a multi-table dataset. Under these circumstances an issue that must be addressed is the transformation of raster data into XML format and their subsequent visualization through SVG. The objective of this paper is to give an overview of the steps that can be followed in order to embody open standards and XML technologies in the raster domain. The last part of the work refers to a case study that suggests a step by step methodology to accomplish classification, an important function in Cartography and Remote Sensing, using the XML-encoded images. © 2005 Elsevier Ltd. All rights reserved. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Computers and Geosciences en
dc.identifier.doi 10.1016/j.cageo.2005.06.004 en
dc.identifier.isi ISI:000234992800004 en
dc.identifier.volume 32 en
dc.identifier.issue 2 en
dc.identifier.spage 184 en
dc.identifier.epage 194 en


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