| Bildiri Türü |
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Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Web of Science Kapsamındaki Kongre/Sempozyum | ||
| DOI Numarası | 10.5194/isprs-archives-XLII-4-W9-339-2018 | ||
| Kongre Adı | International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES) | ||
| Kongre Tarihi | 11-05-2018 / 13-05-2018 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | Safranbolu |
| Bildiri Linki | http://icatces.org/2018/home_files/proceeding_book_2018.pdf | ||
| UAK Araştırma Alanları |
Bilgi Sistemleri
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| Özet |
| The importance of analysis high resolution satellite imagery plays an important research topic for geographical information analysis of cities. Geospatial data plays an important role in important issues such as governmental, industrial, research topics on traffic management, road monitoring, GNSS navigation, and map updating. In this study, road detection from satellite imagery methods are classified as classification-based, knowledge-based, mathematical morphology and dynamic programming. In the beginning, the road structures including feature and model are analyzed. Then, the advantages and disadvantages of road detection methods are evaluated and summarizez their accuracy and performance based on road detection principles. Therefore, in order to obtain remarkable results for road detection, it is better to use more than one method. In after days, performing a complex road extraction from a satellite image is still a necessary and important research topic. |
| Anahtar Kelimeler |
| Classification | Remote Sensing Image | Road Extraction | Road Feature |
| Atıf Sayıları | |
| Web of Science | 19 |
| Scopus | 27 |
| Dergi Adı | INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES - ISPR |
| Kısa Adı | |
| Yayıncı | International Society for Photogrammetry and Remote Sensing |
| Açık Erişim | Evet |
| ISSN | 1682-1750 |
| E-ISSN | 2194-9034 |
| Tarandığı Indeksler | Scopus |
| WoS Kategoriler | |
| Scopus Kategoriler | GEOGRAPHY, PLANNING AND DEVELOPMENT | INFORMATION SYSTEMS |