Object-oriented Classification of Road Pavement Type in Greater Maputo from Satellite Images

Keywords

Statistics
Statistical learning
Sustainable mobility
Code:
38/2022
Title:
Object-oriented Classification of Road Pavement Type in Greater Maputo from Satellite Images
Date:
Tuesday 31st May 2022
Author(s):
Burzacchi, A.; Landrò, M.; Vantini, S.
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Abstract:
The information about pavement surface type is rarely available in road network databases of developing countries although it represents a cornerstone of the design of efficient mobility systems. This research develops an automatic classification algorithm for road pavement which makes use of satellite images to recognize road segment as paved or unpaved. The proposed methodology is based on an object-oriented approach, so that each road is classified by looking at the distribution of its pixels in the RGB space. The proposed approach is proven to be accurate, inexpensive, and readily replicable in other cities.