A Deep Learning-Based Solution for Large-Scale Extraction of the Secondary Road Network from High-Resolution Aerial Orthoimagery

Secondary roads represent the largest part of the road network. However, due to the absence of clearly defined edges, presence of occlusions, and differences in widths, monitoring and mapping them represents a great effort for public administration. We believe that recent advancements in machine vis...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Calimanut-Ionut Cira, Ramón Alcarria, Miguel-Ángel Manso-Callejo, Francisco Serradilla
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2020-10-01
Seri Bilgileri:Applied Sciences
Konular:
Online Erişim:https://www.mdpi.com/2076-3417/10/20/7272