An automated building extraction model using fuzzy k-nn classifier from monocular aerial images

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2007

Author

Şenaras, Çağlar

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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.

Subject Keywords

Automation.

URI

http://etd.lib.metu.edu.tr/upload/12608853/index.pdf
https://hdl.handle.net/11511/16987

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

Ç. Şenaras, “An automated building extraction model using fuzzy k-nn classifier from monocular aerial images,” M.S. - Master of Science, Middle East Technical University, 2007.