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Remote sensing technology based on the unmanned aerial vehicle (UAV) aerial photography has high application values in small area monitoring. In this study, a certain village of Nanchong city in Sichuan, China, was taken as the experimental area, the UAV remote sensing technology was used to obtain the image of the area. First of all, image preprocessing was conducted. Then different scales was selected according to the object to segment images, the optimal segmentation scale was selected, and the segmentation hierarchy table was established. The classification rules were defined at each level according to the object difference, and the object was extracted to realize the information extraction of land use situation. It was found from the classification accuracy evaluation that the overall accuracy of the information extraction method in this study was 92.47% and the Kappa coefficient was 0.91, which indicated the good quality of the classification; therefore the method was effective. It indicated that the remote sensing technology and object-oriented multi-scale segmentation method can effectively extract information.

RESEARCH ON DATA PROCESSING AND INFORMATION EXTRACTION OF REMOTE SENSING IMAGE BASED ON THE UAV AERIAL PHOTOGRAPHY