NDLI: Dammaged building identifying from VHR satellite imagery using morphological operators in 2011 Pacific coast of Tohoku Earthquake and Tsunami

Content Provider	IEEE Xplore Digital Library
Author	Parape, C.D.K. Premachandra, H.C.N. Tamura, M. Sugiura, M.
Copyright Year	2012
Description	Author affiliation: Asia Disaster Reduction Center, Kobe, Japan (Sugiura, M.) \|\| Graduate School of Global Environmental Studies, Kyoto University, Japan (Tamura, M.) \|\| Department of Urban and Environmental Engineering, Graduate School of Engineering, Kyoto University, Japan (Parape, C.D.K.) \|\| Department of Electrical Engineering, Tokyo University of Science, Japan (Premachandra, H.C.N.)
Abstract	The 2011 Great East Japan Earthquake occurred 130km off the northeast coast of Japan in the Pacific Ocean near the Japan Trench and it triggered huge Tsunami, which caused damaged along 600km of coastline. Estimation of tsunami impact on buildings from this event is important for quick response for evaluation and the reconstruction process. This study presents a methodology for an automated damaged buildings detection algorithm using an object recognition task based on Differential Morphological Profile for Very High Resolution (VHR) remotely sensed satellite images. The proposed approach involves morphological operators among which adaptive varying specific sizes, shape and gray level of the structuring elements. GeoEye-1 and IKONOS satellite images consisting of a pre and post 2011 Pacific coast Tohoku earthquake and tsunami site of the Ishinomaki area in Miyagi Prefecture, Japan were used. Morphological operations of opening and closing with construction were applied for segmented images. The Random Forest classification method was used for the building extraction and the results comparison with ground truth data.
Starting Page	3006
Ending Page	3009
File Size	2202225
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6350793
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Buildings Tsunami Satellites Remote sensing Feature extraction Vectors Earthquakes Differential Morphological Profile GeoEye-1 IKONOS Building Extraction Random Forest
Content Type	Text
Resource Type	Article

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