利用融合纹理与形态特征进行地震倒塌房屋信息自动提取

Extracting Damaged Buildings Information Automatically Based on Textural and Morphological Features

  • 摘要: 提出了一种以震后单一时相高空间分辨率光学遥感影像为基础,融合纹理特征和形态特征的地震倒塌房屋自动提取方法,研究了不同尺度纹理特征和形态特征在倒塌房屋提取中的作用和表现。以5.12汶川地震作为研究实例,结果表明,本方法能够有效提取地震倒塌房屋。倒塌房屋产品精度和用户精度分别为86.65%和86.35%,Kappa系数为0.790 6。

     

    Abstract: Extracting damaged buildings accurately and quickly through remote sensing has an important meaning to damage evaluation and relief after earthquake.A method,which based only on high spatial resolution optical remotely sensed image acquired after earthquake and fused textural features and morphological features,was proposed to extract damaged buildings automatically.Besides,the use and behaving of different scales textural features and morphological features in damaged buildings extraction were investigated.A study case,Wenchuan Earthquake,was studied.Experiment results showed that this method could extract damaged buildings effectively and reach a good result that the product accuracy and the user accuracy of damaged buildings,and Kappa coefficient were 86.65%,86.35% and 0.790 6 respectively.

     

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