Abstract
Single image geo-spatial mapping is very important and the research can promote the thorough application of the single image in GIS. Firstly,the concept of single image geo-spatial mapping is briefly introduced. Then,a method is proposed. Its main steps are as follows: A large quantity of images should be collected and the principal optic axis is approximately horizontal. Then each image is divided into many super-pixels,and lots of features are selected such as color,texture and location. All super-pixels are calculated one by one and the classes include ground and no ground. Through training,a decision tree can be obtained. On the basis of the horizontal constraint as well as the center coordinate of the camera and azimuth,the image coordinate of the ground area can be transferred into the projected coordinate. Through shooting many images on a university campus,the method is verified. The mapping accuracy is analyzed. The result is good. The study is useful for single images application in GIS.
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