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In order to control the altitude of low altitude unmanned aerial vehicle (UAV) and obtain clearer geographical information images, it is necessary to optimize the height measurement method of low altitude unmanned aerial vehicle (UAV). The current method mainly uses the automatic calibration method of projective geometry knowledge to realize automatic aerial photogrammetry height measurement of low altitude unmanned aerial vehicle (UAV). The method has the problems of serious noise influence and large measurement error. Therefore, a highly automatic aerial photogrammetry method for low altitude unmanned aerial vehicle (UAV) based on multisensor and Calman filtering is proposed. Firstly, through the analysis of aerial photography has no effect on the height of the low pressure air pressure measurement method for calculation of various factors, and then push the troposphere with low pressure induced no change in aerial photography height; and then the double GPS system work at the same time, for the low altitude GPS, altimeter and IMU measurements obtained the UAV aerial photography altitude signal redundant backup; using two order polynomial correction method based on low altitude UAV aerial photography sensor output value compensation and correction; according to the kinetic equations of dynamics equation of low altitude UAV aerial photography obtained by measuring the height of the state equation; linear minimum variance estimation criterion Calman filtering of low altitude UAV aerial photography were highly variance estimation and realization of low altitude automatic measurement and calibration. Experimental results show that the proposed method has the advantages of high precision, good convergence and ideal filtering effect.