Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Object-based image analysis to support numerical tsunami modeling
KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301), Geodesy (closed 20110301).
Tohoku University.
2011 (English)In: 8th International Workshop on Remote Sensing for Disaster Management, 2011Conference paper, Published paper (Other academic)
Abstract [en]

In response to tsunami disaster at the early stage, integrating remote sensing products with numericalmodeling proved to be useful to enhance the capability of early damage estimation. The informationderived from high-resolution satellite images would well represent the current status of the surfaceroughness and the land use conditions that would be used in the numerical modeling of tsunamiinundation. This research aims at developing a new object-based image analysis solution forautomated extraction of object of interest from satellite images and hence, to support numericaltsunami modeling. As time is a critical factor, less user interaction and fast computing are thepriorities in design and implementation of the proposed solution. Its performance is demonstratedwith a QuickBird and an IKONOS images acquired over Ban Nam Ken, Thailand. In such aresidential area, building mainly contributes to the resistance value in numerical modeling. The testshows that over 70% of building could be successfully extracted. Further work will extend theimplementation onto grid-computing platform.

Place, publisher, year, edition, pages
2011.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:kth:diva-89676OAI: oai:DiVA.org:kth-89676DiVA: diva2:503236
Conference
8th International Workshop on Remote Sensing for Disaster Management. Tokyo, Japan. September 30 - October 1, 2010
Note
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

http://www.enveng.titech.ac.jp/midorikawa/rsdm2010_pdf/07_thuy_lpaper.pdf

Search in DiVA

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

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 45 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf