Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10071
Title: Detection of urban change using remote sensing and GIS: Izmir case
Authors: Tarhan, Çiğdem
Arkon, Cemal
Çelik, M.
Gümüştekin, Şevket
Tecim, V.
Tarhan, Çiğdem
Arkon, Cemal
Çelik, M.
Gümüştekin, Şevket
Keywords: Remote sensing
Geographic Information System (GIS)
Change detection
Urban data
Izmir
Issue Date: 2008
Publisher: Taylor and Francis Ltd.
Series/Report no.: Proceedings and Monographs in Engineering, Water and Earth Sciences
Abstract: This study is an example of how land use changes could be detected via high resolution remotely sensed data. In order to perform "change detection" IKONOS satellite images, belonging to 2001 and 2004, have been used. An automated Graphical User Interface (GUI) has been created for detection of environment. Different image enhancement techniques and a fuzzy inference system have been combined in the GUI. The detection results are classified according to some basic levels such as 20-50% and 70%. Additionally, four different change detection algorithms have been applied which are pixel-based, object based, feature based. These algorithms have been examined according to change detection levels with different image enhancement techniques. At the end of the study, the results have been compared.
Description: Annual Symposium of the Urban-Data-Management-Society
URI: https://hdl.handle.net/11147/10071
ISBN: 978-0-415-44059-2
Appears in Collections:City and Regional Planning / Şehir ve Bölge Planlama
Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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