Earthquake-damaged buildings detection using active contour algorithm and MRF

Ming Hao, Wen Zhong Shi, Hua Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


As damaged buildings after earthquake cannot be efficiently detected only based on remotely sensed image, a novel method is proposed for detecting damaged buildings. This approach combines improved active contour algorithm and Markov Random Field (MRF). Firstly, the building regions are identified according to pre-event GIS data, and the improved active contour algorithm is used to extract homogeneous regions in building boundaries from the post remotely sensed image. Secondly, easily identified buildings are detected by shape similarities between extracted and initial shapes with double thresholds. Thirdly, for the uncertain buildings between two thresholds, the improved MRF with distance weight is utilized to build spatial relation model among buildings accurately to determine whether they are damaged. The experimental results indicate that the proposed method can efficiently improve the accuracy and robustness to detect earthquake-damaged buildings by remotely sensed images. An effective way is provided for detecting damaged buildings and emergency relief after an earthquake.
Original languageChinese (Simplified)
Pages (from-to)156-161
Number of pages6
JournalZhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology
Issue number1
Publication statusPublished - 1 Jan 2014


  • Active contour algorithm
  • Detecting damaged buildings
  • Earthquake
  • High-resolution remotely sensed image
  • MRF

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geotechnical Engineering and Engineering Geology
  • Mechanical Engineering
  • Geology

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