Change detection in urban areas using very high spatial resolution satellite images: case study in Brussels

Evelyne Frauman; Eléonore Wolff

doi:10.1117/12.627793

28 October 2005 Change detection in urban areas using very high spatial resolution satellite images: case study in Brussels

Evelyne Frauman, Eléonore Wolff

Author Affiliations +

Proceedings Volume 5983, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V; 59830A (2005) https://doi.org/10.1117/12.627793
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

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.

Citation Download Citation

Evelyne Frauman and Eléonore Wolff "Change detection in urban areas using very high spatial resolution satellite images: case study in Brussels", Proc. SPIE 5983, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V, 59830A (28 October 2005); https://doi.org/10.1117/12.627793

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