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Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation. / Meesuk, V.; Vojinovic, Zoran; Mynett, Arthur.

Proceedings of the HIC 2014 - 11th international conference on hydroinformatics. ed. / M Piasecki. 2014. p. 1792-1799.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Meesuk, V, Vojinovic, Z & Mynett, A 2014, Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation. in M Piasecki (ed.), Proceedings of the HIC 2014 - 11th international conference on hydroinformatics. pp. 1792-1799, 11th International Conference on Hydroinformatics, New York, United States, 17/08/14.

APA

Meesuk, V., Vojinovic, Z., & Mynett, A. (2014). Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation. In M. Piasecki (Ed.), Proceedings of the HIC 2014 - 11th international conference on hydroinformatics (pp. 1792-1799)

Vancouver

Meesuk V, Vojinovic Z, Mynett A. Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation. In Piasecki M, editor, Proceedings of the HIC 2014 - 11th international conference on hydroinformatics. 2014. p. 1792-1799

Author

Meesuk, V. ; Vojinovic, Zoran ; Mynett, Arthur. / Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation. Proceedings of the HIC 2014 - 11th international conference on hydroinformatics. editor / M Piasecki. 2014. pp. 1792-1799

BibTeX

@inproceedings{a3bc470e840749268ec0a23c3d29090d,
title = "Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation",
abstract = "Top-view data obtainedfrom LiDAR systemshas long been used as topographic-input data for urban flood modelling applications. This high-resolution input data has considerable potential to improve urban flood modelling predictions with more detail. However, the difficulty of employing top-view data is that it may create some missing urban features because this type ofdata cannot represent anyurban features,which are hiddenunderneath other objects. These hidden featuresmay play a substantial part in diverting floodwater flowing through,especially in complex urban areas. The recent advances in Photogrammetry and Computer Vision techniques offer an opportunity to create high-resolution topographic data. By using a consumer digital camera, 2D digital photoscan betaken from different viewpoints. The so-called Structure from Motion (SfM) techniquecan usethese overlappingphotos and reconstruct theminto3D pointcloud data with a high level of accuracy and resolution,usinga cost effective approach. In this work, we create street-view SfM point-cloud data obtained from street viewpoints. We also introduce a new multi-view approach by merging top-view LiDAR data withstreet-view SfM data. This new multi-view data can be used as topographic input data for a coupled 1D-2D model. When applyingsuch newdata, the flood simulation results can highlight some flood propagations much better than using the traditional top-view LiDAR data. Therefore, it has the potential toenhance the multi-view approach into practicable flood-modelling applications for the present and future urbanizing areas.",
author = "V. Meesuk and Zoran Vojinovic and Arthur Mynett",
year = "2014",
language = "English",
isbn = "978-1-5108-0039-7",
publisher = "s.n.",
pages = "1792--1799",
editor = "M Piasecki",
booktitle = "Proceedings of the HIC 2014 - 11th international conference on hydroinformatics",

}

RIS

TY - GEN

T1 - Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation

AU - Meesuk, V.

AU - Vojinovic, Zoran

AU - Mynett, Arthur

PY - 2014

Y1 - 2014

N2 - Top-view data obtainedfrom LiDAR systemshas long been used as topographic-input data for urban flood modelling applications. This high-resolution input data has considerable potential to improve urban flood modelling predictions with more detail. However, the difficulty of employing top-view data is that it may create some missing urban features because this type ofdata cannot represent anyurban features,which are hiddenunderneath other objects. These hidden featuresmay play a substantial part in diverting floodwater flowing through,especially in complex urban areas. The recent advances in Photogrammetry and Computer Vision techniques offer an opportunity to create high-resolution topographic data. By using a consumer digital camera, 2D digital photoscan betaken from different viewpoints. The so-called Structure from Motion (SfM) techniquecan usethese overlappingphotos and reconstruct theminto3D pointcloud data with a high level of accuracy and resolution,usinga cost effective approach. In this work, we create street-view SfM point-cloud data obtained from street viewpoints. We also introduce a new multi-view approach by merging top-view LiDAR data withstreet-view SfM data. This new multi-view data can be used as topographic input data for a coupled 1D-2D model. When applyingsuch newdata, the flood simulation results can highlight some flood propagations much better than using the traditional top-view LiDAR data. Therefore, it has the potential toenhance the multi-view approach into practicable flood-modelling applications for the present and future urbanizing areas.

AB - Top-view data obtainedfrom LiDAR systemshas long been used as topographic-input data for urban flood modelling applications. This high-resolution input data has considerable potential to improve urban flood modelling predictions with more detail. However, the difficulty of employing top-view data is that it may create some missing urban features because this type ofdata cannot represent anyurban features,which are hiddenunderneath other objects. These hidden featuresmay play a substantial part in diverting floodwater flowing through,especially in complex urban areas. The recent advances in Photogrammetry and Computer Vision techniques offer an opportunity to create high-resolution topographic data. By using a consumer digital camera, 2D digital photoscan betaken from different viewpoints. The so-called Structure from Motion (SfM) techniquecan usethese overlappingphotos and reconstruct theminto3D pointcloud data with a high level of accuracy and resolution,usinga cost effective approach. In this work, we create street-view SfM point-cloud data obtained from street viewpoints. We also introduce a new multi-view approach by merging top-view LiDAR data withstreet-view SfM data. This new multi-view data can be used as topographic input data for a coupled 1D-2D model. When applyingsuch newdata, the flood simulation results can highlight some flood propagations much better than using the traditional top-view LiDAR data. Therefore, it has the potential toenhance the multi-view approach into practicable flood-modelling applications for the present and future urbanizing areas.

UR - http://resolver.tudelft.nl/uuid:a3bc470e-8407-4926-8ec0-a23c3d29090d

M3 - Conference contribution

SN - 978-1-5108-0039-7

SP - 1792

EP - 1799

BT - Proceedings of the HIC 2014 - 11th international conference on hydroinformatics

A2 - Piasecki, M

ER -

ID: 26821953