 Google Earth imagery was selected for a case study in Wuhan City to perform an object-based land use slash cover classification. The classification accuracy was assessed by using 570 validation points generated by a random sampling scheme. The results showed that G has an overall classification accuracy of 78.07%, which is slightly lower than that of QB. This article was authored by Qianhu, Wenbin Wu, Tianxia, and others.