This research aims at developing an innovative supervised classification method for road pavement which recognizes surface type of road segments starting from satellite images. Roads of unknown surface are labelled as paved or unpaved by means of new algorithms developed in the field of Object-oriented Data Analysis and using open-source software and data. The proposed approach is proven to be accurate, low-cost, and can be straightforwardly extended from the single case study of Greater Maputo to other cities.
From satellite images to road pavement type: an object-oriented classification approach
Burzacchi, Arianna
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2022-01-01
Abstract
This research aims at developing an innovative supervised classification method for road pavement which recognizes surface type of road segments starting from satellite images. Roads of unknown surface are labelled as paved or unpaved by means of new algorithms developed in the field of Object-oriented Data Analysis and using open-source software and data. The proposed approach is proven to be accurate, low-cost, and can be straightforwardly extended from the single case study of Greater Maputo to other cities.File in questo prodotto:
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