ROAD EXTRACTION TECHNIQUES FROM REMOTE SENSING IMAGES: A REVIEW
Yazarlar (3)
Dr. Öğr. Üyesi İdris KAHRAMAN Karabük Üniversitesi, Türkiye
Prof. Dr. İsmail Rakıp KARAŞ Karabük Üniversitesi, Türkiye
Abdullah Emin Akay Bursa Teknik Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SCOPUS dergilerinde yayınlanan tam makale)
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| Dergi Adı | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | ||
| Dergi ISSN | 2194-9034 | ||
| Dergi Tarandığı Indeksler | SCOPUS | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2018 |
| Cilt / Sayı / Sayfa | 42 / 4 / 339–342 | DOI | 10.5194/isprs-archives-XLII-4-W9-339-2018,2018 |
| Makale Linki | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W9/339/2018/isprs-archives-XLII-4-W9-339-2018.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 summarizes 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 |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 41 |