XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/1:]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: RAPID DISASTER DAMAGE ESTIMATION T. T. Vu

Document type:: Multivolume work

Structure type:: Chapter

uncertainty by of MSS data, 18), pp. 4005- 05. Estimating ft classification ial of Remote 2010. ALCM: Indian remote Specific crop n bands-A soft 1, Hyderabad. and Bunting P. iporal satellite napping, ISPRS ing, 62(3), pp. onitoring water . Using NDVI ‘2010, pp. 187- k-SR. 2006. changes using the earthquake 1, Geotechnical and Sarma B. tch Earthquake water bodies, (9), pp. 1749— and Kanwar R. hquake, GIS @ à crop mapping assessment for f Environment, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia RAPID DISASTER DAMAGE ESTIMATION TT Vu ? School of Geography, University of Nottingham, Malaysia campus, Jalan Broga, Semenyih, 43500 Selangor, Malaysia - tuongthuy.vu@nottingham.edu.my Commission VIII, WG VIII/1 KEY WORDS: Remote Sensing, Feature Extraction, Segmentation, Disaster, Damage mapping ABSTRACT: The experiences from recent disaster events showed that detailed information derived from high-resolution satellite images could accommodate the requirements from damage analysts and disaster management practitioners. Richer information contained in such high-resolution images, however, increases the complexity of image analysis. As a result, few image analysis solutions can be practically used under time pressure in the context of post-disaster and emergency responses. To fill the gap in employment of remote sensing in disaster response, this research develops a rapid high-resolution satellite mapping solution built upon a dual-scale contextual framework to support damage estimation after a catastrophe. The target objects are building (or building blocks) and their condition. On the coarse processing level, statistical region merging deployed to group pixels into a number of coarse clusters. Based on majority rule of vegetation index, water and shadow index, it is possible to eliminate the irrelevant clusters. The remaining clusters likely consist of building structures and others. On the fine processing level details, within each considering clusters, smaller objects are formed using morphological analysis. Numerous indicators including spectral, textural and shape indices are computed to be used in a rule-based object classification. Computation time of raster-based analysis highly depends on the image size or number of processed pixels in order words. Breaking into 2 level processing helps to reduce the processed number of pixels and the redundancy of processing irrelevant information. In addition, it allows a data- and tasks- based parallel implementation. The performance is demonstrated with QuickBird images captured a disaster-affected area of Phanga, Thailand by the 2004 Indian Ocean tsunami are used for demonstration of the performance. The developed solution will be implemented in different platforms as well as a web processing service for operational uses. 1. INTRODUCTION automated image analysis solution is available, the practitioners are seeking the collaborative mapping framework (Goodchild Providing quick and reliable captured information in hardest hit and Glennon 2010). GEO-CAN (Bevington et al. 2010), a and difficult-to-assess areas, remote sensing products have been practical work has been efficiently deployed in response to the commonly used as the first and primary information source at 2010 Haiti earthquake, in which the huge time-consuming the post-disaster response stage (Adams et al., 2004; Balz and interpretation of damages from remote sensing images were Liao, 2010; Matsuoka and Yamazaki 1999; Saito et al., 2004; ^ divided into gird-based delegation to numerous contributors Stramondo et al, 2006; Vu et al. 2005). The activation of worldwide. As collaborative mapping platform is well International Charter on Space and Major Disasters ^ developed, the mechanism to ensure the accuracy and (www.disastercharter.org) together with the coordination of ^ consistency is the big challenge. Moreover, damage UN-SPIDER (www.un-spider.org) facilitates the acquiring and interpretation requires a certain level of expertise in remote delivering timely remote sensing images to the bodies in charge sensing and structural engineering. The quick image processing of relief efforts and emergency responses. The fastest available ^^ outcomes would be a guideline for the contributors as well as a information is damage extent that is manually extracted in such reference frame to ensure the quality of derived damage operational framework. The product accuracy with respect to information. the practices is far to meet (Kerle 2010). More quantitative and details of damages are expected from the damage analysts and To contribute to the current efforts, this research develops a disaster management practitioners. Researches in response to rapid high-resolution satellite mapping solution built upon a recent disaster events showed that detailed information derived dual-scale contextual framework to support damage estimation from very high-resolution satellite images could accommodate after a catastrophe. The initial development is formulated as a their requirements (Chesnel et al. 2007; Gusella et al. 2005; ^ part of a tsunami-damage estimation system (Koshimura et al. Saito et al. 2004; Vu and Ban, 2010). 2010) integrating numerical modelling of tsunami inundation, remote sensing and GIS. High-resolution remote sensing images Richer information contained in such high-resolution images are acquired to update the surface roughness for tsunami increases the complexity of image analysis. Numerous modelling as well as mapping the structural damages. Thus, the researches have been done either to develop or employ the ^ target objects of image processing are building (or building object-based image analysis approach (Blaschke 2010), which blocks). Breaking into two levels of processing, the design and proved to be the most suitable for high-resolution satellite ^ implementation are optimized for computation speed. Details of images. Those, however, are impractically used under time developed solutions are described in Section 2 and pressure in the context of post-disaster and emergency demonstrated with QuickBird images of Ban Nam Ken, Phanga, responses due to the high computational cost and the Thailand in Section 3. requirement of experienced operators. Since no mature 65

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