A new approach to evaluate the accuracy of image classification result $R´

In order to either ascertain the best model for remote sensing image classification or evaluate the accuracy of the classification result, the paper introduced R´ into the image classification precision evaluation. Aiming at the remote sensing image classification characters, the R´ was improved and generalized. On the basis of R´ theory analysis, the method was tested by classifying the actual image and assessing the classification result. The experiment showed that R´ is a new and efficient method for images´ classification model efficiency assessment and it will be generally used in the future