Object-based image analysis to support numerical tsunami modeling
2011 (English)In: 8th International Workshop on Remote Sensing for Disaster Management, 2011Conference paper (Other academic)
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
IdentifiersURN: urn:nbn:se:kth:diva-89676OAI: oai:DiVA.org:kth-89676DiVA: diva2:503236
8th International Workshop on Remote Sensing for Disaster Management. Tokyo, Japan. September 30 - October 1, 2010
QC 201204162012-02-152012-02-152012-04-16Bibliographically approved