Classification of farmland using multitemporal aerial images

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dc.identifier.uri http://dx.doi.org/10.15488/1126
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1150
dc.contributor.author Müller, Sönke
dc.contributor.author Heipke, Christian
dc.contributor.author Pakzad, K.
dc.date.accessioned 2017-02-07T09:43:46Z
dc.date.available 2017-02-07T09:43:46Z
dc.date.issued 2010
dc.identifier.citation Mueller, S.; Heipke, C.; Pakzad, K.: Classification of farmland using multitemporal aerial images. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Core Spatial Databases - Updating, Maintenance And Services - From Theory To Practice] 38-4-8-2 (2010), Nr. W9, S. 70-74
dc.description.abstract It is well known that there is a growing need for consistent and up-to-date GIS-data at various scales for administrative and regulatory applications. Especially farmland classes are of high interest in this context. A new automatic method for the classification of crops is described. The method is based on sequences of digital aerial orthophotos with a ground sampling distance of 0.17m. The applied image sequence consists of twelve images of the same region within one vegetation period. Expert knowledge about the crops together with extracted features leads to temporal models for each crop. The temporal change of the features along with a changing relevance of a feature is considered. The temporal models are applied during classification that is based on a weighting function. The approach is tested on a test site of about 700ha and achieves correct classification rates better than 90%. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof Conference on Core Spatial Databases - Updating, Maintenance and Services - from Theory to Practice, March 15-17, 2010, Haifa, Israel
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Core Spatial Databases - Updating, Maintenance And Services - From Theory To Practice] 38-4-8-2 (2010), Nr. W9
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Agriculture eng
dc.subject crop eng
dc.subject vegetation eng
dc.subject classification eng
dc.subject aerial eng
dc.subject multitemporal eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Classification of farmland using multitemporal aerial images eng
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 2194-9034
dc.bibliographicCitation.issue W9
dc.bibliographicCitation.volume 38-4-8-2
dc.bibliographicCitation.firstPage 70
dc.bibliographicCitation.lastPage 74
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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