Taylor and Francis Ltd.;Colchester: Taylor & Francis
摘要:
摘要： Typhoon Morakot has been the most severe typhoon disaster to strike Taiwan in recent decades causing tremendous damage to bridge surroundings in 2009. However, we still lack a means of assessing post-typhoon damage for follow-up rebuilding. This paper presents an integrated model that automatically measures changes in rivers, areas of damage to bridge surroundings, and changes in vegetation. The proposed model is based on a neurofuzzy mechanism enhanced by the self-organising map optimisation algorithm and also includes the particular functions of dilation, erosion, and skeletonisation to deal with river imagery. High resolution FORMOSAT-2 satellite imagery from before and after the invasion period is adopted. A bridge is randomly selected from the 129 destroyed due to the typhoon for applications of the model. The recognition results show that the river average width has increased 66% with a maximum increase of over 200%. The ruined segment of the bridge is located exactly in the most scoured region. There has also been a nearly 10% reduction in the vegetation coverage. The results yielded by the proposed model demonstrate a pinpoint accuracy rate of 99.94%. This study successfully develops a tool for large-scale damage assessment as well as for precise measurement after disasters. 出版者： Colchester: Taylor & Francis 出版日期： 2014-01-02 出處： Civil engineering and environmental systems, 2014-01, Vol.31 (1), p.24-35 資源來源： EBSCOhost Academic Search Premier 版權： 2013 Taylor & Francis 2013 版權： 2015 INIST-CNRS 版權： Copyright Taylor & Francis Ltd. 2014 識別號： ISSN: 1028-6608 識別號： EISSN: 1029-0249 識別號： DOI: 10.1080/10286608.2013.820278
