Acta Geodaetica et Cartographica Sinica >

2015 , Vol. 44 >Issue 4: 407 - 413

DOI: https://doi.org/10.11947/j.AGCS.2015.20130785

Contour Cluster Shape Analysis for Building Damage Detection from Post-earthquake Airborne LiDAR

  • HE Meizhang ,
  • ZHU Qing ,
  • DU Zhiqiang ,
  • ZHANG Yeting ,
  • HU Han ,
  • LIN Yueguan ,
  • QI Hua
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  • 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. State-province Joint Engineering Laboratory of Spatial Information Technology of High-speed Rail Safety, Chengdu 611756, China;
    3. Faculty of Geosciences and Environmental Engineering, Southeast Jiaotong University, Chengdu 611756, China;
    4. National Disaster Reduction Center of China, MCA, Beijing 100124, China

Received date: 2013-12-20

  Revised date: 2014-11-25

  Online published: 2015-04-27

Supported by

The National 863 Program of China(No.2012AA121305);The National Natural Science Foundation of China(No. 41171311);The National High Resolution Earth Observation System(the Civil Part) Technology Projects of China(No.03-Y30B06-9001-13/15);The Technology Plan Projects of Sichuan(No. 2014SZ0106)

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Abstract

Detection of the damaged building is the obligatory step prior to evaluate earthquake casualty and economic losses. It's very difficult to detect damaged buildings accurately based on the assumption that intact roofs appear in laser data as large planar segments whereas collapsed roofs are characterized by many small segments. This paper presents a contour cluster shape similarity analysis algorithm for reliable building damage detection from the post-earthquake airborne LiDAR point cloud. First we evaluate the entropies of shape similarities between all the combinations of two contour lines within a building cluster, which quantitatively describe the shape diversity. Then the maximum entropy model is employed to divide all the clusters into intact and damaged classes. The tests on the LiDAR data at El Mayor-Cucapah earthquake rupture prove the accuracy and reliability of the proposed method.

Key words： contour cluster; shape similarity; entropy; damaged building detection; post-earthquake airborne LiDAR point cloud

Cite this article

HE Meizhang , ZHU Qing , DU Zhiqiang , ZHANG Yeting , HU Han , LIN Yueguan , QI Hua . Contour Cluster Shape Analysis for Building Damage Detection from Post-earthquake Airborne LiDAR[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(4) : 407 -413 . DOI: 10.11947/j.AGCS.2015.20130785

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