Multitemporal quality assessment of grassland and cropland objects of a topographic dataset
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 useful ness of the data. For economic reasons a high degree of automation is required for the quality control process. This go...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
International Society for Photogrammetry and Remote Sensing
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/13588 |
| _version_ | 1848748385335508992 |
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| author | Helmholz, Petra Büschenfeld, T. Breitkopf, U. Müller, S. Rottensteiner, F. |
| author_facet | Helmholz, Petra Büschenfeld, T. Breitkopf, U. Müller, S. Rottensteiner, F. |
| author_sort | Helmholz, Petra |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 useful ness 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. I n 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 3 2m). 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. |
| first_indexed | 2025-11-14T07:04:12Z |
| format | Conference Paper |
| id | curtin-20.500.11937-13588 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:04:12Z |
| publishDate | 2012 |
| publisher | International Society for Photogrammetry and Remote Sensing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-135882017-01-30T11:38:04Z Multitemporal quality assessment of grassland and cropland objects of a topographic dataset Helmholz, Petra Büschenfeld, T. Breitkopf, U. Müller, S. Rottensteiner, F. 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 useful ness 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. I n 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 3 2m). 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. 2012 Conference Paper http://hdl.handle.net/20.500.11937/13588 International Society for Photogrammetry and Remote Sensing restricted |
| spellingShingle | Helmholz, Petra Büschenfeld, T. Breitkopf, U. Müller, S. Rottensteiner, F. Multitemporal quality assessment of grassland and cropland objects of a topographic dataset |
| title | Multitemporal quality assessment of grassland and cropland objects of a topographic dataset |
| title_full | Multitemporal quality assessment of grassland and cropland objects of a topographic dataset |
| title_fullStr | Multitemporal quality assessment of grassland and cropland objects of a topographic dataset |
| title_full_unstemmed | Multitemporal quality assessment of grassland and cropland objects of a topographic dataset |
| title_short | Multitemporal quality assessment of grassland and cropland objects of a topographic dataset |
| title_sort | multitemporal quality assessment of grassland and cropland objects of a topographic dataset |
| url | http://hdl.handle.net/20.500.11937/13588 |