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Proceedings Paper

Object-based detection of destroyed buildings based on remotely sensed data and GIS
Author(s): Natalia Sofina; Manfred Ehlers; Ulrich Michel
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Paper Abstract

The paper describes an object-based method to detect destroyed buildings as a consequence of an earthquake. The investigation is based on the analysis of remotely sensed raster and vector-based data. The methodology includes three main steps: generation of features defining the states of buildings, classification of building state and data import in GIS. This paper concentrates on the first step of the three, the generation of features. The appropriately selected features are indispensable for the following successful classification. The described methodology is applied to remotely sensed images of areas that had been subject to an earthquake. Our preliminary results confirm the potential of the proposed approach for detection of the building state. The change detection methodology has been developed solely with Open Source Software. GRASS GIS is involved for vector and raster data processing and presentation. Programming languages Python and Bash are used to develop new GRASS-modules.

Paper Details

Date Published: 27 October 2011
PDF: 11 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81810D (27 October 2011); doi: 10.1117/12.898469
Show Author Affiliations
Natalia Sofina, Univ. Osnabrueck (Germany)
Manfred Ehlers, Univ. Osnabrueck (Germany)
Ulrich Michel, Univ. of Education Heidelberg (Germany)


Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)

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