Change search
ReferencesLink to record
Permanent link

Direct link
Building extraction from high-resolution satellite image for tsunami early damage estimation
KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301), Geodesy (closed 20110301).
2011 (English)In: Earth and Environmental Science, 2011, 75-81 p.Conference paper (Other academic)
Abstract [en]

This paper introduced a developed object-based extraction tool for delineating the building footprints from high-resolution satellite image. The foundation of the algorithm is a scale-space analysis based on level set transformation integrated with index, size, shape and spatial relation analysis. Building extraction tool is developed as a component of a newly developed tsunami early damage detection system. To be capable as a tool in such critical time after a catastrophe, the tool is implemented in a parallel manner for processing speed optimization. The extracted building footprint plays as one of the roughness factors in tsunami numerical modeling. The test on QuickBird image of Ban Nam Ken, Phanga, Thailand presents a good result in comparison with manually detected one. It infers that the tool is applicable in extraction of other object types from high-resolution satellite images. It is also recommended that benchmark should be carried out to report the algorithm performance based on which improvement can be made.

Place, publisher, year, edition, pages
2011. 75-81 p.
, Applied Geomatics, 3(2)
National Category
Natural Sciences
URN: urn:nbn:se:kth:diva-89670DOI: 10.1007/s12518-010-0039-4ScopusID: 2-s2.0-84867391767OAI: diva2:503227
Gi4DM: Geo-information for Disaster Management, Torino, Italy, February 2010
QC 20120416Available from: 2012-02-15 Created: 2012-02-15 Last updated: 2012-04-16Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Vu, Tuong Thuy
By organisation
Geodesy (closed 20110301)
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 77 hits
ReferencesLink to record
Permanent link

Direct link