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An Automated Building Extraction Model Using Fuzzy K-nn Classifier From Monocular Aerial Images

The aim of this study is to develop an automated model to extract buildings from aerial images. The fuzzy k-NN classification method is used to extract the buildings by using color information. Also in the thesis, the advantages of the relevance feedback systems are discussed. The software, BuildingLS, is developed in C#. The model is evaluated in 5 different test areas with more than 700 building.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12608853/index.pdf
Date01 October 2007
CreatorsSenaras, Caglar
ContributorsKarslioglu, Mahmut Onur
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for public access

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