<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 <italic>Ikonos</italic> 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.</p><p>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.</p></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.

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

Chair of Geoinformatic and Remote Sensing

Miscellanea Geographica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The aim of the paper is to present automated methods of discrimination of urban development forms using object-oriented classification in high-resolution...

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

Online veröffentlicht: 07. Dez. 2018

Seitenbereich: 315 - 327

DOI: https://doi.org/10.2478/mgrsd-2006-0036

Schlüsselwörter
object-oriented classification, land cover, land use, urbanized areas, Warsaw, eCognition, segmentation, classification

© 2006 Karol Zaremski, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Online veröffentlicht: 07. Dez. 2018

Seitenbereich: 315 - 327

DOI: https://doi.org/10.2478/mgrsd-2006-0036

Schlüsselwörterobject-oriented classification, land cover, land use, urbanized areas, Warsaw, eCognition, segmentation, classification

© 2006 Karol Zaremski, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
object-oriented classification, land cover, land use, urbanized areas, Warsaw, eCognition, segmentation, classification