Use of satellite and ALS data for classification of roofing materials on the example of asbestos roof tile identification

• Autorzy: Osińska-Skotak K. , Ostrowski W.
• Języki publikacji: EN

Abstrakty

EN

Classification of roofing materials with the use of high resolution satellite imagery is a difficult issue, especially due to the fact that roofs are characterised by large diversity of shapes and textures, mainly caused by different roof surfaces illumination. To automate the process of roofing material types classification the influence of diversified illumination of individual roof surfaces should be eliminated. Topographic correction of satellite imagery may decrease influence of such effects and therefore leads to more accurate classification results. This paper presents classification results of roofing materials based on an 8-channel WorldView-2 satellite image. The digital terrain model and the digital surface model created with the use of aerial laser scanning data provided by the ISOK project were used for the topographic correction. The accuracy of the supervised classification of WorldView-2 image achieved for asbestos-cement roofing materials was at the level of 76-92%, (depending on the variant of classification). After grouping roofing materials by similar materials (e.g. painted sheet metal and metal tiles) it is possible to achieve classification results with the accuracy of ca. 70-80%.

Słowa kluczowe

EN

roofing materials detection; multispectral classification; topographic correction; WorldView-2

• Wydawca: Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie
• Czasopismo: Technical Sciences / University of Warmia and Mazury in Olsztyn
• Rocznik: 2015
• Tom: nr 18(4)
• Strony: 283--298
• Opis fizyczny: Bibliogr. 19 poz., rys., tab., wykr., zdj.

Twórcy

autor

Osińska-Skotak K.

• Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Warsaw University of Technology

autor

Ostrowski W.

• Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Warsaw University of Technology

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