Object-oriented classifications for land use/land cover using Cosmo-SkyMed and LandSat 7 satellite data: An example of Erbil/Iraq
Konferenz: EUSAR 2014 - 10th European Conference on Synthetic Aperture Radar
03.06.2014 - 05.06.2014 in Berlin, Germany
Tagungsband: EUSAR 2014
Seiten: 4Sprache: EnglischTyp: PDF
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Autoren:
Al-Hameedawi, Amjed (Institute for Cartography, Dresden University of Technology, 01062 Dresden, Germany; University of Technology, Baghdad, Iraq)
Buchroithner, Manfred (Institute for Cartography, Dresden University of Technology, 01062 Dresden, Germany)
Inhalt:
Classification of SAR data is used to compensate for the lack of authoritative map data for decision support planning purposes. Landuse/landcover mapping of the study area has been performed using multi-sensor (SAR, optical) data in combination with object-oriented classification. The results have been evaluated on the basis of an accuracy assessment with a reference to substantial ground truth. The Cosmo-SkyMed image has been classified before and after the fusion with LandSat 7, and the results have been compared according to an accuracy assessment. An overall classification accuracy of 92% and 86.50% has been accomplished.