Extracting Damaged Buildings Information Automatically Based on Textural and Morphological Features

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.