Abstract
The object-oriented method was chosen to extract land use information from UAV image.Through pretreatment of the original UAV images,the appropriate partition parameters were selected to perform multi-scale segmentation in the experimental area;according to the terrain classification characteristic differences the classification hierarchy system of multi-scale segmentation and the surface feature characteristic extraction rules were established to extract land use information in the respective optimal segmentation scale layer.The result shows that the application of object-oriented multi-scale segmentation technology can extract the land use information rapidly and accurately by using the texture,shape,size,and spatial relationship information of high-resolution UAV image.
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