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Automatic information extraction from remote sensing images and 3d point clouds for building damage assessment

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Rapid automated information generation about the damages to the buildings after a destructive disaster event such as an earthquake is cruicial to carry out speedy response and recovery actions. Remote sensing is the most suitable technology to provide data for automatic extraction ofdamage information for such spatialy extensive events, In Particular obligue airbone image from manned and unmanned aerial platforms have been recognozed as a potentialy more useful data source for building damage assessment than conventional vertical images, due to the following specific reasons: these images are generally captured with (i) multiple camera views which is crucial for holistic building damage assessment; (ii) high spatial resolution; (iii) high frame overlap making it suitable to generat 3D point clouds. DAta with these characteristic are importan for building damage assessment as desribe below. Although obligue airbone images and derived 3D point clouds are describe for damage assessment, reliable, robust and operational methods for automated extraction of damage information from such data arerare. Thus the objective of this research was to design and developed methods for automatic extraction of information needed for damage assessment, specifically from the oblique airbone images and the 3D point clouds derived from them.

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Ketersediaan

B20190123265

DS 621.3678 ANA a

Perpustakaan BIG (600)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

DS 621.3678 ANA a

Penerbit

Netherlands : University of Twente., 2018

Deskripsi Fisik

xxii, 250 hlm. : illus. : 23 cm.

Bahasa

Inggris

ISBN/ISSN

978-90-365-4507-5

Klasifikasi

621.3678

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Penginderaan Jauh

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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