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
A. E. Akay Bursa Teknik Üniversitesi, Türkiye
Bildiri Türü Açık Erişim Tebliğ/Bildiri 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
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
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 19
Scopus 27
Road Extraction Techniques from Remote Sensing Images: A Review

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