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Improving Interactive Classification Of Satellite Image Content

Interactive classi&amp / #64257 / cation is an attractive alternative and complementary for automatic classi&amp / #64257 / cation of satellite image content, since the subject is visual and there are not yet powerful computational features corresponding to the sought visual features. In this study, we improve our previous attempt by building a more stable software system with better capabilities for interactive classi&amp / #64257 / cation of the content of satellite images. The system allows user to indicate a few number of image regions that contain a speci&amp / #64257 / c geographical object, for example, a bridge, and to retrieve similar objects on the same satellite images. Retrieval process is iterative in the sense that user guides the classi&amp / #64257 / cation procedure by interaction and visual observation of the results. The classi&amp / #64257 / cation procedure is based on one-class classi&amp / #64257 / cation.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12608326/index.pdf
Date01 May 2007
CreatorsTekkaya, Gokhan
ContributorsAtalay, Volkan
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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