Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation

M. Shimoni; T. Croonenborghs; P. Y. Declercq; A. Drougkas; E. Verstrynge; F. P. Hocquet; R. Hayen; K. Van Balen

doi:10.1109/IGARSS.2019.8899318

Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation

M. Shimoni, T. Croonenborghs, P. Y. Declercq, A. Drougkas, E. Verstrynge, F. P. Hocquet, R. Hayen, K. Van Balen

Hyperspectral Unit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Damage assessment, protection and preservation of built patrimony are a priority at national and local levels due to their importance to many cultural and economic aspects. This paper presents a methodology to estimate the potential damage caused by ground settlement for cultural heritage buildings using remotely sensed big data. Specifically, it presents a framework to assess the potential damage caused by ground settlement for masonry, infilled and bare frames structures using Persistent Scatterer Interferometric (PSI) measurements. The proposed solution advances the state-of-the-art by integrating big Earth observation (EO), environmental, architectural and historical data, for estimating the settlement induced damage to hundreds thousands of buildings. The fully automatic scheme was created within cloud computing environment for accelerating data transfer, processing and modeling and for improving the visualization of image-derived products.

Original language	English
Title of host publication	2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5816-5819
Number of pages	4
ISBN (Electronic)	9781538691540
DOIs	https://doi.org/10.1109/IGARSS.2019.8899318
Publication status	Published - Jul 2019
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

Keywords

PS-InSAR
big data
cloud computing
cultural heritage
settlement induced damage

Access to Document

10.1109/IGARSS.2019.8899318

Cite this

Shimoni, M., Croonenborghs, T., Declercq, P. Y., Drougkas, A., Verstrynge, E., Hocquet, F. P., Hayen, R., & Balen, K. V. (2019). Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 5816-5819). Article 8899318 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2019.8899318

Shimoni, M. ; Croonenborghs, T. ; Declercq, P. Y. et al. / Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation. 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 5816-5819 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation",

abstract = "Damage assessment, protection and preservation of built patrimony are a priority at national and local levels due to their importance to many cultural and economic aspects. This paper presents a methodology to estimate the potential damage caused by ground settlement for cultural heritage buildings using remotely sensed big data. Specifically, it presents a framework to assess the potential damage caused by ground settlement for masonry, infilled and bare frames structures using Persistent Scatterer Interferometric (PSI) measurements. The proposed solution advances the state-of-the-art by integrating big Earth observation (EO), environmental, architectural and historical data, for estimating the settlement induced damage to hundreds thousands of buildings. The fully automatic scheme was created within cloud computing environment for accelerating data transfer, processing and modeling and for improving the visualization of image-derived products.",

keywords = "PS-InSAR, big data, cloud computing, cultural heritage, settlement induced damage",

author = "M. Shimoni and T. Croonenborghs and Declercq, {P. Y.} and A. Drougkas and E. Verstrynge and Hocquet, {F. P.} and R. Hayen and Balen, {K. Van}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

year = "2019",

month = jul,

doi = "10.1109/IGARSS.2019.8899318",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Shimoni, M, Croonenborghs, T, Declercq, PY, Drougkas, A, Verstrynge, E, Hocquet, FP, Hayen, R & Balen, KV 2019, Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation. in 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings., 8899318, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 5816-5819, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8899318

Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation. / Shimoni, M.; Croonenborghs, T.; Declercq, P. Y. et al.
2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5816-5819 8899318 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation

AU - Shimoni, M.

AU - Croonenborghs, T.

AU - Declercq, P. Y.

AU - Drougkas, A.

AU - Verstrynge, E.

AU - Hocquet, F. P.

AU - Hayen, R.

AU - Balen, K. Van

PY - 2019/7

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N2 - Damage assessment, protection and preservation of built patrimony are a priority at national and local levels due to their importance to many cultural and economic aspects. This paper presents a methodology to estimate the potential damage caused by ground settlement for cultural heritage buildings using remotely sensed big data. Specifically, it presents a framework to assess the potential damage caused by ground settlement for masonry, infilled and bare frames structures using Persistent Scatterer Interferometric (PSI) measurements. The proposed solution advances the state-of-the-art by integrating big Earth observation (EO), environmental, architectural and historical data, for estimating the settlement induced damage to hundreds thousands of buildings. The fully automatic scheme was created within cloud computing environment for accelerating data transfer, processing and modeling and for improving the visualization of image-derived products.

AB - Damage assessment, protection and preservation of built patrimony are a priority at national and local levels due to their importance to many cultural and economic aspects. This paper presents a methodology to estimate the potential damage caused by ground settlement for cultural heritage buildings using remotely sensed big data. Specifically, it presents a framework to assess the potential damage caused by ground settlement for masonry, infilled and bare frames structures using Persistent Scatterer Interferometric (PSI) measurements. The proposed solution advances the state-of-the-art by integrating big Earth observation (EO), environmental, architectural and historical data, for estimating the settlement induced damage to hundreds thousands of buildings. The fully automatic scheme was created within cloud computing environment for accelerating data transfer, processing and modeling and for improving the visualization of image-derived products.

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KW - big data

KW - cloud computing

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KW - settlement induced damage

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T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings

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ER -

Shimoni M, Croonenborghs T, Declercq PY, Drougkas A, Verstrynge E, Hocquet FP et al. Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 5816-5819. 8899318. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2019.8899318

Advanced Processing of Remotely Sensed Big Data for Cultural Heritage Conservation

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Keywords

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