Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery

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dc.identifier.uri http://dx.doi.org/10.15488/1117
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1141
dc.contributor.author Helmholz, Petra
dc.contributor.author Heipke, Christian
dc.contributor.author Rottensteiner, Franz
dc.date.accessioned 2017-02-03T11:49:04Z
dc.date.available 2017-02-03T11:49:04Z
dc.date.issued 2010
dc.identifier.citation Helmholz, P.; Heipke, C.; Rottensteiner, F.: Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [100 Years ISPRS Advancing Remote Sensing Science, Pt 1] 38 (2010), Nr. 7B, S. 275-280
dc.description.abstract As a consequence of the wide-spread application of digital geo-data in Geoinformation Systems (GIS), quality control has become increasingly important. A high degree of automation is required in order to make quality control efficient enough for practical application. In order to achieve this goal we have designed and implemented a semi-automatic technique for the verification of cropland and grassland GIS objects using 1 m pan-sharpened multispectral IKONOS imagery. The approach compares the GIS objects and compares them with data derived from high resolution remote sensing imagery using image analysis techniques. Textural, structural, and spectral features are assessed in a classification based on Support Vector Machines (SVM) in order to check whether a cropland or grassland object in the GIS is correct or not. The approach is explained in detail, and an evaluation is presented using reference data. Both the potential and the limitations of the system are discussed. eng
dc.description.sponsorship German Federal Agency for Cartography and Geodesy (BKG)
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [100 Years ISPRS Advancing Remote Sensing Science, Pt 1] 38 (2010), Nr. 7B
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Automation eng
dc.subject GIS eng
dc.subject Quality Control eng
dc.subject Verification eng
dc.subject Updating eng
dc.subject frequency-analysis eng
dc.subject classification eng
dc.subject vineyards eng
dc.subject orchards eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery eng
dc.type article
dc.type Text
dc.relation.issn 2194-9034
dc.bibliographicCitation.issue 7B
dc.bibliographicCitation.volume 38
dc.bibliographicCitation.firstPage 275
dc.bibliographicCitation.lastPage 280
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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