Nowadays, remotely sensed images are used for various purposes in different applications. One of them is the cadastral application using high resolution satellite imagery. In this context, comparison of extraction results from these images and existing vector data is the most important issue. The goal here is to show the advantages and disadvantages of the QuickBird and IKONOS imagery for making cadastral maps. In this study, high resolution IKONOS and QuickBird of Zonguldak and Bartın rural and urban test areas have been chosen. Firstly, pan-sharpened IKONOS and QuickBird images have been produced by fusion of high resolution PAN and MS images using PCI Geomatica v9.1 software package. The parcel, building and road network objects from these datasets have been extracted automatically by initially dividing it into the segments and then, they have been classified by using the spectral, spatial and contextual information using eCognition v4.0.6 software package. On the other hand, these objects have been manually digitized from high resolution images using ArcGIS v9.2 software package. 

These vectors produced automatically and manually have been compared with the existing digital cadastral maps and reference vector maps of scale 1/5000 of test area. The success of object-oriented image analysis results was tested by GIS software; the results have been presented and commented. Therefore, making GIS-based analysis and comparisons with raster and vector data of the test area has crucial importance in terms of putting forth the recent situation.