What is it about?
We used all the information obtained with a drone to classify a suburban scene in urban structures of different levels, vegetation dominated or not by trees, water bodies, among others. We verified the scene using Google Street View.
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Why is it important?
We were able to obtain a classification with very detailed classes (in particular those related to urban structures) with a high overall reliability (0.83). This article shows the potential of remote information obtained with drones to classify scenes with very high detail.
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This page is a summary of: Remotely Piloted Aircraft Systems and Object-oriented classification: an approach into the submetric analysis of a suburban area, Ecosistemas, April 2016, Asociacion Española de Ecologia Terrestre (AEET),
DOI: 10.7818/ecos.2016.25-1.13.
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