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The research scope of this paper is to apply spatial object based imageanalysis (OBIA) method for processing panchromatic multispectral image coveringstudy area of Brussels for urban mapping. The aim is to map different landcover types and more specifically, built-up areas from the very high resolution(VHR) satellite image using OBIA approach. A case study covers urban landscapesin the eastern areas of the city of Brussels, Belgium. Technically, thisresearch was performed in eCognition raster processing software demonstratingexcellent results of image segmentation and classification. The tools embeddedin eCognition enabled to perform image segmentation and objects classificationprocesses in a semi-automated regime, which is useful for the city planning,spatial analysis and urban growth analysis. The combination of the OBIA methodtogether with technical tools of the eCognition demonstrated applicability ofthis method for urban mapping in densely populated areas, e.g. in megapolis andcapital cities. The methodology included multiresolution segmentation andclassification of the created objects.

Topology, homogeneity and scale factors for object detection:  application of eCognition software for urban mapping using multispectral  satellite image