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COMPARISON OF OBJECT ORIENTED IMAGE ANALYSIS AND MANUAL DIGITIZING FOR FEATURE EXTRACTION

By H. Sahin A, H. Topan A, S. Karakis A and A. M. Marangoz A

Abstract

The developments in the remote sensing technology have provided the use of high-resolution images for different purposes if possible. These images can be used for a study such as town planning where high resolution and information content are required. In this study, high resolution panchromatic KVR-1000 image has been employed for extraction of man-made structures in a metropolitan city area. The test area is a part of Zonguldak (Turkey) city. First, boundaries of buildings and road’s center lines have been digitized manually. Additionally, the object oriented classification process has been implemented for the same area. In this manner, the results from manual digitizing and large-scale maps produced by photogrammetrical techniques have been compared and the success of manual digitizing has been verified. The large-scale maps have been taken as the base criteria in the comparison. The second analysis deals with tests using object oriented classification. Both methods include some disadvantages. Operator could experience some problems during manual digitizing process. The object oriented analysis is an alternative tool which uses grey values of objects in the process. Both methods have been analyzed for the orderly and disordered zones constituted by the buildings and the independent houses, respectively. * Corresponding author. 1

Topics: ABSTRACT
Year: 2008
OAI identifier: oai:CiteSeerX.psu:10.1.1.126.3199
Provided by: CiteSeerX
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