Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42443
Title: Use of maps to extract geometric parameters of cities based image processing
Authors: Hernández-Abreu, N. D.
Quevedo-Medina, I.
Travieso, Carlos M. 
Dutta, M. K.
Singh, A.
UNESCO Clasification: 33 Ciencias tecnológicas
Keywords: Automatization
Cities
Geometric parameters
Image processing
Sustainability
Issue Date: 2016
Conference: 3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016 
Abstract: This paper proposes an automatic system in order to determine geometric parameters in different cities. That system is based on image processing techniques, and in which different parameters are obtained. The parameters extracted are the perimeter length and the area delimited by that perimeter, and can be used in order to calculate the level of sustainability of metropolitan zones. These tasks have been usually developed manually, and the system proposed is an advance in terms of time and effort.
URI: http://hdl.handle.net/10553/42443
ISBN: 9781467391979
DOI: 10.1109/SPIN.2016.7566791
Source: 3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016 (7566791), p. 716-720
Appears in Collections:Actas de congresos
Show full item record

Page view(s)

7
checked on Mar 2, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.