Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

LULC database updating from VHR images and LIDAR data using evidence theory

Authors
Borja Rodríguez-Cuenca, M. Concepción Alonso, Agustín Tamés-Noriega
Corresponding Author
Borja Rodríguez-Cuenca
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.139How to use a DOI?
Keywords
Evidence theory, VHR imagery, LIDAR, pattern recognition, segmentation.
Abstract
Urban growth and the development of urban plans make cities grow and substantially alter, in relatively short time periods, their land covers and land uses (LULC). To take control of this urban growth, it is im-portant to create and update the LULC database. In this work, a method to automatically extract land covers from satellite VHR imagery and LIDAR data is pre-sented. This method is based on the Dempster-Shafer evidence theory. The efficiency of this method is tested in three test sites in the Spanish city of Gijón. The pro-vided results are compared with the SIOSE database in order to determine changes in the LULC.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Borja Rodríguez-Cuenca
AU  - M. Concepción Alonso
AU  - Agustín Tamés-Noriega
PY  - 2015/06
DA  - 2015/06
TI  - LULC database updating from VHR images and LIDAR data using evidence theory
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 987
EP  - 993
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.139
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.139
ID  - Rodríguez-Cuenca2015/06
ER  -