Urban areas change detection using DEMs generated automatically from high spatial resolution stereo satellite images

  • Sandra Lucía Cobos Mora Universidad Católica de Cuenca

Resumen

In the spatial-temporal modeling for vertical change detection by a mathematical difference, Digital Elevation
Models (DEMs) are used to monitor changes in height values. The main aim of this paper is to improve the
accuracy of the change detection technique by applying a merge between DEMs of the same characteristics
and therefore achieve better quality results. The research was developed using data gathered between 2006
and 2011 in two test areas. Two robust DEMs were generated from these dates, which were subtracted to
detect altered areas. The DEMs have been automatically generated using the semi global matching method
(SGM) from high spatial resolution stereo images which were provided by the Ikonos and GeoEye-1 satellites.
All these images were previously subjected to a block adjustment in order to correct the geometric differences.
The proposed technique in comparison with the basic technique, has improved the correctness in 3D change
detection by reducing the number of pixels detected as false positives in 2,03% in Test Area 1 and 3.24% in
Test Area 2.

##submission.authorBiography##

##submission.authorWithAffiliation##

Computer Science Engineer with a master degree in Geographical Information Systems. Cobos is working as full time professor and researcher at Universidad Católica de Cuenca. She also was group leader of the Spatial Data Infrastructure department in the Ecuadorian
Space Center and research intern at German Aerospace Center.

Publicado
2017-06-06
##submission.howToCite##
COBOS MORA, Sandra Lucía. Urban areas change detection using DEMs generated automatically from high spatial resolution stereo satellite images. Killkana Técnica, [S.l.], v. 1, n. 1, p. 1-14, jun. 2017. ISSN 2528-8024. Disponible en: <http://killkana.ucacue.edu.ec/index.php?journal=killkana_tecnico&page=article&op=view&path%5B%5D=14>. Fecha de acceso: 19 sep. 2017