Based on the demand of the unmanned aerial vehicle′s (UAV′s) autonomous landing, an easily identifiable pattern is designed. The image information is achieved by the camera in UAV, by using Harris algorithm to process corner detection to obtain the image coordinates of feature points, and matching them with the spatial coordinates of feature points. Orthogonal iteration algorithm is used to estimate the attitude of UAV. The algorithm is implementationed vision evaluation platform based on digital signal processor (DSP), and semi-physical simulation is conducted. Experimental results show that the method has higher calculation speed and accuracy, which providing a certain reterence to practical application.