Differentiation Between Forms of Urban Development Using The Object-Oriented Classification Method with Central Warsaw as The Example

Zaremski Karol ()
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Zaremski Karol: Chair of Geoinformatic and Remote Sensing

Miscellanea Geographica. Regional Studies on Development, 2006, vol. 12, issue 1, 315-327

Abstract: The aim of the paper is to present automated methods of discrimination of urban development forms using object-oriented classification in high-resolution images taken by the Ikonos satellite. The object-oriented classification makes possible to describe individual classes using not only the spectral reflection values but also the shapes, textures and topology of objects. The classification process as such is based on the theory of fuzzy sets.The research covered an area of 25 km, situated in central Warsaw. As a result of object-oriented classification, five classes of development typical of large cities were distinguished and described.

Keywords: object-oriented classification; land cover; land use; urbanized areas; Ikonos; Warsaw; eCognition; segmentation; classification (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:mgrsod:v:12:y:2006:i:1:p:315-327:n:36

DOI: 10.2478/mgrsd-2006-0036

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