Potential of multi-temporal oblique airborne imagery for structural damage assessment

Quick post-disaster actions demand automated, rapid and detailed building damage assessment. Among the available technologies, post-event oblique airborne images have already shown their potential for this task. However, existing methods usually compensate the lack of pre-event information with apri...

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Tác giả chính:	Vetrivel, A.
Định dạng:	BB
Ngôn ngữ:	eng
Thông tin xuất bản:	2020
Chủ đề:	Classification Change detection Structural damage 3D Point Cloud Oblique airborne images
Truy cập trực tuyến:	http://tailieuso.tlu.edu.vn/handle/DHTL/4899
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spelling	oai:localhost:DHTL-48992020-03-30T02:14:17Z Potential of multi-temporal oblique airborne imagery for structural damage assessment Vetrivel, A. Classification Change detection Structural damage 3D Point Cloud Oblique airborne images Quick post-disaster actions demand automated, rapid and detailed building damage assessment. Among the available technologies, post-event oblique airborne images have already shown their potential for this task. However, existing methods usually compensate the lack of pre-event information with aprioristic assumptions of building shapes and textures that can lead to uncertainties and misdetections. However, oblique images have been already captured over many cities of the world, and the exploitation of pre- and post-event data as inputs to damage assessment is readily feasible in urban areas. In this paper, we investigate the potential of multi-temporal oblique imagery for detailed damage assessment focusing on two methodologies: the first method aims at detecting severe structural damages related to geometrical deformation by combining the complementary information provided by photogrammetric point clouds and oblique images. The developed method detected 87% of damaged elements. The failed detections are due to varying noise levels within the point cloud which hindered the recognition of some structural elements. We observed, in general that the façade regions are very noisy in point clouds. To address this, we propose our second method which aims to detect damages to building façades using the oriented oblique images. The results show that the proposed methodology can effectively differentiate among the three proposed categories: collapsed/highly damaged, lower levels of damage and undamaged buildings, using a computationally light-weight approach. We describe the implementations of the above mentioned methods in detail and present the promising results achieved using multi-temporal oblique imagery over the city of L’Aquila (Italy). http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-3/355/2016/isprs-annals-III-3-355-2016.pdf 2020-02-18T02:28:54Z 2020-02-18T02:28:54Z 2016 20181122100646.0 130605s2016 BB In: Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information /Volume III-3, 2016, pp. 355-362.ISSN: 2194-9050 http://tailieuso.tlu.edu.vn/handle/DHTL/4899 eng
institution	Trường Đại học Thủy Lợi
collection	DSpace
language	eng
topic	Classification Change detection Structural damage 3D Point Cloud Oblique airborne images
spellingShingle	Classification Change detection Structural damage 3D Point Cloud Oblique airborne images Vetrivel, A. Potential of multi-temporal oblique airborne imagery for structural damage assessment
description	Quick post-disaster actions demand automated, rapid and detailed building damage assessment. Among the available technologies, post-event oblique airborne images have already shown their potential for this task. However, existing methods usually compensate the lack of pre-event information with aprioristic assumptions of building shapes and textures that can lead to uncertainties and misdetections. However, oblique images have been already captured over many cities of the world, and the exploitation of pre- and post-event data as inputs to damage assessment is readily feasible in urban areas. In this paper, we investigate the potential of multi-temporal oblique imagery for detailed damage assessment focusing on two methodologies: the first method aims at detecting severe structural damages related to geometrical deformation by combining the complementary information provided by photogrammetric point clouds and oblique images. The developed method detected 87% of damaged elements. The failed detections are due to varying noise levels within the point cloud which hindered the recognition of some structural elements. We observed, in general that the façade regions are very noisy in point clouds. To address this, we propose our second method which aims to detect damages to building façades using the oriented oblique images. The results show that the proposed methodology can effectively differentiate among the three proposed categories: collapsed/highly damaged, lower levels of damage and undamaged buildings, using a computationally light-weight approach. We describe the implementations of the above mentioned methods in detail and present the promising results achieved using multi-temporal oblique imagery over the city of L’Aquila (Italy).
format	BB
author	Vetrivel, A.
author_facet	Vetrivel, A.
author_sort	Vetrivel, A.
title	Potential of multi-temporal oblique airborne imagery for structural damage assessment
title_short	Potential of multi-temporal oblique airborne imagery for structural damage assessment
title_full	Potential of multi-temporal oblique airborne imagery for structural damage assessment
title_fullStr	Potential of multi-temporal oblique airborne imagery for structural damage assessment
title_full_unstemmed	Potential of multi-temporal oblique airborne imagery for structural damage assessment
title_sort	potential of multi-temporal oblique airborne imagery for structural damage assessment
publishDate	2020
url	http://tailieuso.tlu.edu.vn/handle/DHTL/4899
work_keys_str_mv	AT vetrivela potentialofmultitemporalobliqueairborneimageryforstructuraldamageassessment
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Potential of multi-temporal oblique airborne imagery for structural damage assessment

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