With the characteristic of flexibility, unmanned aerial vehicles (UAV) can adapt to the flight mission of complex terrain in cloudy area. But because the lens are short and the obtained image with the characteristics of small size, large number, short baseline and irregular overlapping degree, this method is different from the one processing traditional aviation image. In order to solve the precision of block adjustment which is not high and the heavy workload of image processing based on UAV image. We took several methods, first of all, the image data acquired by UAV are processed using the conventional block adjustment method, and then the POSsupported block adjustment method is used based on the original POS data. For the problem of low accuracy of the original POS data obtained by UAV, POS data correction model is established and POS data error correction parameter are acquired by layout a small amount of the control points in regional network, and a POSsupported block adjustment method is proposed based on the corrected POS data. Experimental results show that the precision of the conventional method is superior to the method of using original POS data directly, the precision of the corrected POS data method is close to the conventional method, at the same time, the efficiency of the block adjustment is improved.