A Pedagogical Proposal: Classification Of Pavement Types From An Othoimage Using Object-Oriented Analysis.

Abstract

The traffic in Bogotá City, capital of Colombia, is very high due to convergences of all transport system and constitutes by itself the commercial, cultural and industrial center of the country. Withurban growthand economic development ofthe city, the number of vehicles circulating initisincreasing yearafteryear, mainlyinthe metropolitan region. Due to this phenomena, it’s been observed a deterioration in the road network of the city and it is necessary to search alternatives that can mitigate this problem.In this context, the central purpose of this research is to classify the types of pavements of urban roads in Bogotá, using orthoimages produced by the Geographic Institute “Agustín Codazzi”, acquired by a high spatial resolution camera Vexcel UltracamD, in order to find an alteranative to map the roads that need to be restored. To evaluate the method, a study was developed in small downtown area using
the OBIA (Object Based Image Analysis) approach implemented in Ecognition software. The results show that OBIA approach produces thematic map of the types of pavements of the study area with an accuracy of the 58,19% (Kappa)