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Development of an Outline Detection Tool (ODT) in QGIS environment for risk mitigation applications

Fabio Casciati, Sara Casciati, Lucia Faravelli, Michele Vece

Article ID: 01.006.
Vol 1, Issue 1, 2016, Article identifier:

VIEWS - 175 (Abstract) 166 (PDF)

Abstract

Vision techniques are presently developed, within a GIS environment, to detect any type of structural and infrastructure damage caused by natural catastrophic events. The aim of this paper is to report on the implementation of a software tool which is able to identify the border of any system that could be damaged by a negative event. The potential of an open source tool named “Magic Wand” is investigated in order to create an innovative procedure which allows to quickly select buildings and artefacts in disaster areas. The pixels of satellite images are the input that the tool requires. Some examples are presented in order to provide the main features of the proposed function.

Keywords

catastrophic events; QGIS; satellite images; development; vision technique

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DOI: http://dx.doi.org/10.18063/JSC.2015.01.006
(175 Abstract Views, 166 PDF Downloads)

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Copyright (c) 2016 Fabio Casciati, Sara Casciati, Lucia Faravelli, Michele Vece

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Journal of Smart Cities is a peer-reviewed, open-access journal. All journal content, except where otherwise noted, is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.