Abstract：With the development of high resolution remote sensing technology and the multi-source of data acquisition, the multi-source sensor data fusion method has become a hot spot in the field of remote sensing information extraction. This paper combined Geo Eye high resolution aviation image with the Li DAR data, by the research on segmentation parameters, feature selection, and classification rules characteristics, puts forward the utilization of the fuzzy method for object-oriented classification—member function method to select a classification study of the experimental area. The result showed that this object-oriented classification method can be more effectively extracted the buildings, coal pile, shrubs, and other mining typical objects, and that the overall accuracy reached 93. 92%, KIA is 92. 52%. Compared to the single remote sensing data, the classification accuracy has been significantly improved.

Keyword：high resolution imaging;LiDAR;object-oriented classification: member function;