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LAND USE DETECTION COMPARISON FROM SATELLITE IMAGES WITH DIFFERENT CLASSIFICATION PROCEDURES

By G. Sarp and A. Erener

Abstract

For that reason, this study aimed to apply a methodology to detect and compare land use results acquired by classification of different satellite images with different resolutions. The study region is Golbasi Municipality of Ankara city of Turkey. The images and their resolutions used in this study are QuickBird 2.4m, Ikonos 4m. Two different classification procedures are carried out in this study. Firstly, supervised classification technique is applied to images and the majority filter is applied to classification results in order to increase the accuracy. Secondly zonal based classification technique is applied to data. The accuracy of the classification results generated with two different classification procedure and for two different images are compared with GIS database that includes the boundaries of buildings. 1

Topics: Land use information is required for most of the studies as map updating, land use detection, cartography, city planning etc
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.184.2176
Provided by: CiteSeerX
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