Satellite Image Classification in Geographical Information Systems
Yazarlar (1)
Prof. Dr. İsmail Rakıp KARAŞ Karabük Üniversitesi, Türkiye
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Tebliğ/Bildiri
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Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES) | ||
| Kongre Tarihi | 01-04-2019 / 01-04-2019 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | |
| Bildiri Linki | https://web.karabuk.edu.tr/ismail.karas/files/proceeding_book_2019_funda%20vd_89.pdf | ||
| UAK Araştırma Alanları |
Mühendislik
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| Özet |
| Satellite image classification is a significant portion of the pattern recognition, image analysis and remote sensing RS. The aim of this study is to classify the Sentinal-2A satellite image to produce build up area maps by using geographic information systems GIS. Build up maps classification is carried out based on supervised classification. ArcGIS software were used to perform the analysis. Düzce area used as cases study to produce the outcomes. The performance accuracy was 85% for classification. The result showed that classification in GIS environment can be applied easily, accurately and without complexity for end-users. |
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