Name
Title | ||
|---|---|---|
Assessment Of Building Damage In 2008 Wenchuan Earthquake From Multi-Temporal Sar Images Using Getis Statistic |
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%. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1587/transcom.E94.B.2983 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
building damage assessment, Wenchuan earthquake, ALOS-PALSAR, Getis statistic | Dykstra's projection algorithm,Statistic,Computer science,Synthetic aperture radar,Remote sensing,Distributed computing | Journal |
Volume | Issue | ISSN |
E94B | 11 | 0916-8516 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haipeng Wang | 1 | 99 | 9.71 |
| Tianlin Wang | 2 | 10 | 3.41 |
| Feng Xu | 3 | 244 | 40.77 |
| Kazuo Ouchi | 4 | 112 | 15.71 |