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Proceedings Paper

Change detection in urban areas using very high spatial resolution satellite images: case study in Brussels
Author(s): Evelyne Frauman; Eléonore Wolff
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Paper Abstract

In this paper we examine the possibilities of using VHR images for locating major changes (i.e. buildings, roads and vegetation) in order to focus ground topographical measurements and to keep a topographic 1:1000 database (UrbIS) of urban areas up-to-date in between two aerial photographic flights. The techniques implemented are multi-temporal classification and post-classification change detection. These techniques are used as such and in GIS-based change detection. This latest is implemented with masks exported from information contained in the UrbIS database. Main changes are well detected, though a number of "false changes" is detected and remain significant. Solutions to reduce the number of false alarms will be investigated through the application of post-classification rules.

Paper Details

Date Published: 28 October 2005
PDF: 12 pages
Proc. SPIE 5983, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V, 59830A (28 October 2005); doi: 10.1117/12.627793
Show Author Affiliations
Evelyne Frauman, Univ. of Brussels (Belgium)
Eléonore Wolff, Univ. of Brussels (Belgium)


Published in SPIE Proceedings Vol. 5983:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V
Manfred Ehlers; Ulrich Michel, Editor(s)

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