ROAD EXTRACTION TECHNIQUES FROM REMOTE SENSING IMAGES: A REVIEW
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Copernicus Gesellschaft Mbh
Erişim Hakkı
info:eu-repo/semantics/openAccess
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.
Açıklama
International Conference on Geomatic and Geospatial Technology (GGT) - Geospatial and Disaster Risk Managemen -- SEP 03-05, 2018 -- Kuala Lumpur, MALAYSIA
Anahtar Kelimeler
Remote Sensing Image, Classification, Road Extraction, Road Feature
Kaynak
International Conference On Geomatic & Geospatial Technology (Ggt 2018): Geospatial and Disaster Risk Management
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
42-4
Sayı
W9
