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

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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

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Sum total of downloads: 202

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.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 138 68.32%
2 image of flag of United States United States 21 10.40%
3 image of flag of China China 11 5.45%
4 image of flag of Russian Federation Russian Federation 4 1.98%
5 image of flag of Australia Australia 4 1.98%
6 image of flag of Peru Peru 3 1.49%
7 image of flag of No geo information available No geo information available 2 0.99%
8 image of flag of Brazil Brazil 2 0.99%
9 image of flag of Georgia Georgia 1 0.50%
10 image of flag of Estonia Estonia 1 0.50%
    other countries 15 7.43%

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