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Building extraction from high-resolution satellite image for tsunami early damage estimation

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Abstract

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.

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Acknowledgement

This research is a part of an internationally collaborative research project supported by Industrial Technology Research Grant Program from New Energy and Industrial Technology Development Organization (NEDO), Japan.

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  1. Geoinformatics, Royal Institute of Technology (KTH), Drottning Kristinas väg 30, Stockholm, 100 44, Sweden

    Tuong Thuy Vu

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  1. Tuong Thuy Vu
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Correspondence to Tuong Thuy Vu.

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Vu, T.T. Building extraction from high-resolution satellite image for tsunami early damage estimation. Appl Geomat 3, 75–81 (2011). https://doi.org/10.1007/s12518-010-0039-4

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  • DOI: https://doi.org/10.1007/s12518-010-0039-4

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