摘要
An M 7.3 strong earthquake occurred in Port-au-Prince,Haiti on Jan.12,2010 has destroyed a large number of buildings.From the post-earthquake very high resolution remote sensing image,we can find there are a lot of rubbles around collapsed and partly damaged buildings.Therefore,we take these rubbles as seismic-damage characteristics of the collapsed buildings and use the following three methods—pixel-based method,object-oriented method and object-oriented method combined with geo-statistical texture to extract rubbles automatically.Finally,we assess the accuracy of the three classifications of the remotely-sensed data through the three methods.It turns out that the accuracy of pixel-based method is less than that of object-oriented method.The overall Kappa coefficient and user’s precision of rubbles have improved remarkably when adding texture feature.However,there is no obvious improvement of the producer precision of the rubbles.