The thesis is aimed on hydromorphological assessment with usage of distance data. The distance method QuaWaDis is defined and the usage of results of image processing within the hydromorphological assessment is considered. The aim of the assessment is classification of hydromorphological conditions of water bodies according to Water Framework Directive 2000/60/EC. Distance method is based on visual interpretation of public data. Image processing results can extend the number of parameters of the distance method - object based classification was applied on aerial imagery (in land cover classification), unsupervised classification and image reclassification was applied on multispectral satellite data (in water depths classification). The calibration of distance method and the credibility of the distance data was evaluated in comparison with results of field survey EcoRivHab (Matoušková, 2008). Object based image processing was aimed on accuracy assessment, index of efficiency was defined and the concept of fuzzy logic was applied in accuracy assessment. From consideration of classification efficiency is obvious, that large internally heterogeneous objecs is more effectivelly to vectorise manually. Accuracy assessment with usage of concept of fuzzy logic shows the success of object recognition within each...
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:322246 |
| Date | January 2013 |
| Creators | Králová, Magdalena |
| Contributors | Matoušková, Milada, Hais, Martin, Lehotský, Milan |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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