Remote Sense Image Classification Based on CART Algorithm

@inproceedings{Yang2013RemoteSI,
  title={Remote Sense Image Classification Based on CART Algorithm},
  author={Bao Yang and Shuang Li},
  year={2013}
}
This papers deals with the study of the algorithm of classification method based on decision tree for remote sensing image. The experimental area is located in the Xiangyang district, the data source for the 2010 satellite images of SPOT and TM fusion. Moreover, classification method based on decision tree is optimized with the help of the module of RuleGen and applied in regional remote sensing image of interest. The precision of Maximum likelihood ratio is 95.15 percent, and 94.82 percent for… CONTINUE READING

Similar Papers

Loading similar papers…