In order to improve the independence of the navigation information for unmanned aerial vehicle（UAV） landing

a novel monocular navigation method based on the calibration of corresponding lines is proposed

and it is used to determine the orientation and position relative to landing target for landing of UAV independently.Firstly

the motion and projection models of camera on-board of UAV are established.And then based on the calibration of the corresponding lines

constraint equations of orientation & position of UAV are established using three random natural lines on the land.Finally

simulation experiment is given to show the effectiveness of this method and test results show it is accurate to within 3 % in each axis of translation and 3° in each axis of rotation

and this method makes the best of natural characters so that it is more practicable than those that the special man-made landing targets are needed.