Multitemporal quality assessment of grassland and cropland objects of a topographic dataset

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dc.identifier.uri http://dx.doi.org/10.15488/1097
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1121
dc.contributor.author Helmholz, Petra
dc.contributor.author Büschenfeld, Torsten
dc.contributor.author Breitkopf, Uwe
dc.contributor.author Müller, Sören
dc.contributor.author Rottensteiner, Franz
dc.date.accessioned 2017-02-03T07:14:07Z
dc.date.available 2017-02-03T07:14:07Z
dc.date.issued 2012
dc.identifier.citation Helmholz, P.; Bueschenfeld, T.; Breitkopf, U.; Mueller, S.; Rottensteiner, F.: Multitemporal quality assessment of grassland and cropland objects of a topographic dataset. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [XXII ISPRS Congress, Technical Commission I] 39 (2012), Nr. B4, S. 67-72. DOI: https://doi.org/10.5194/isprsarchives-XXXIX-B4-67-2012
dc.description.abstract As a consequence of the wide-spread application of digital geo-data in geographic information systems (GIS), quality control has become increasingly important to enhance the usefulness of the data. For economic reasons a high degree of automation is required for the quality control process. This goal can be achieved by automatic image analysis techniques. An example of how this can be achieved in the context of quality assessment of cropland and grassland GIS objects is given in this paper. The quality assessment of these objects of a topographic dataset is carried out based on multi-temporal information. The multi-temporal approach combines the channels of all available images as a multilayer image and applies a pixel-based SVM-classification. In this way multispectral as well as multi-temporal information is processed in parallel. The features used for the classification consist of spectral, textural (Haralick features) and structural (features derived from a semi-variogram) features. After the SVM-classification, the pixel-based result is mapped to the GIS-objects. Finally, a simple ruled-based approach is used in order to verify the objects of a GIS database. The approach was tested using a multi-temporal data set consisting of one 5-channel RapidEye image (GSD 5m) and two 3-channel Disaster Monitoring Constellation (DMC) images (GSD 32m). All images were taken within one year. The results show that by using our approach, quality control of GIS-cropland and grassland objects is possible and the human operator saves time using our approach compared to a completely manual quality assessment. eng
dc.description.sponsorship German Federal Agency for Cartography and Geodesy (BKG)
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof 22nd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing, August 25-September 01, 2012, Melbourne, Australia
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [XXII ISPRS Congress, Technical Commission I] 39 (2012), Nr. B4
dc.rights CC BY 3.0
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Automation eng
dc.subject Quality eng
dc.subject Inspection eng
dc.subject Updating eng
dc.subject GIS eng
dc.subject Crop eng
dc.subject Multitemporal eng
dc.subject Classification eng
dc.subject satellite imagery eng
dc.subject classification eng
dc.subject area eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Multitemporal quality assessment of grassland and cropland objects of a topographic dataset
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 2194-9034
dc.relation.doi https://doi.org/10.5194/isprsarchives-XXXIX-B4-67-2012
dc.bibliographicCitation.issue B4
dc.bibliographicCitation.volume 39
dc.bibliographicCitation.firstPage 67
dc.bibliographicCitation.lastPage 72
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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