IEICE TRANSACTIONS on Communications
Assessment of Building Damage in 2008 Wenchuan Earthquake from Multi-Temporal SAR Images Using Getis Statistic
Summary :
In this paper, the Getis statistic is applied to ALOS- PALSAR (Advanced Land Ovserving Satellite-Phased Array L-band Synthetic Aperture Radar) images for assessing the building damage caused by the Wenchuan earthquake in 2008. As a proposed image analysis, a simulated building image using mapping and projection algorithm is first presented for analysis of the Getis statistic. The results show the high accuracy of the assessment of the proposed approach. The Getis statistic is then applied to two ALOS-PALSAR images acquired before and after the Wenchuan earthquake to assess the level of building damage. Results of the Getis statistic show that the damage level is approximately 81%.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.11 pp.2983-2986
- Publication Date
- 2011/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.2983
- Type of Manuscript
- Special Section LETTER (Special Section on Space, Aeronautical and Navigational Technologies in Conjunction with Main Topics of WSANE and ICSANE)
- Category
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Haipeng WANG, Tianlin WANG, Feng XU, Kazuo OUCHI, "Assessment of Building Damage in 2008 Wenchuan Earthquake from Multi-Temporal SAR Images Using Getis Statistic" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 11, pp. 2983-2986, November 2011, doi: 10.1587/transcom.E94.B.2983.
Abstract: In this paper, the Getis statistic is applied to ALOS- PALSAR (Advanced Land Ovserving Satellite-Phased Array L-band Synthetic Aperture Radar) images for assessing the building damage caused by the Wenchuan earthquake in 2008. As a proposed image analysis, a simulated building image using mapping and projection algorithm is first presented for analysis of the Getis statistic. The results show the high accuracy of the assessment of the proposed approach. The Getis statistic is then applied to two ALOS-PALSAR images acquired before and after the Wenchuan earthquake to assess the level of building damage. Results of the Getis statistic show that the damage level is approximately 81%.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2983/_p
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@ARTICLE{e94-b_11_2983,
author={Haipeng WANG, Tianlin WANG, Feng XU, Kazuo OUCHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Assessment of Building Damage in 2008 Wenchuan Earthquake from Multi-Temporal SAR Images Using Getis Statistic},
year={2011},
volume={E94-B},
number={11},
pages={2983-2986},
abstract={In this paper, the Getis statistic is applied to ALOS- PALSAR (Advanced Land Ovserving Satellite-Phased Array L-band Synthetic Aperture Radar) images for assessing the building damage caused by the Wenchuan earthquake in 2008. As a proposed image analysis, a simulated building image using mapping and projection algorithm is first presented for analysis of the Getis statistic. The results show the high accuracy of the assessment of the proposed approach. The Getis statistic is then applied to two ALOS-PALSAR images acquired before and after the Wenchuan earthquake to assess the level of building damage. Results of the Getis statistic show that the damage level is approximately 81%.},
keywords={},
doi={10.1587/transcom.E94.B.2983},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - Assessment of Building Damage in 2008 Wenchuan Earthquake from Multi-Temporal SAR Images Using Getis Statistic
T2 - IEICE TRANSACTIONS on Communications
SP - 2983
EP - 2986
AU - Haipeng WANG
AU - Tianlin WANG
AU - Feng XU
AU - Kazuo OUCHI
PY - 2011
DO - 10.1587/transcom.E94.B.2983
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2011
AB - In this paper, the Getis statistic is applied to ALOS- PALSAR (Advanced Land Ovserving Satellite-Phased Array L-band Synthetic Aperture Radar) images for assessing the building damage caused by the Wenchuan earthquake in 2008. As a proposed image analysis, a simulated building image using mapping and projection algorithm is first presented for analysis of the Getis statistic. The results show the high accuracy of the assessment of the proposed approach. The Getis statistic is then applied to two ALOS-PALSAR images acquired before and after the Wenchuan earthquake to assess the level of building damage. Results of the Getis statistic show that the damage level is approximately 81%.
ER -
English
