A fast and efficient image mosaic algorithm for unmanned aerial vehicle（ UAV） aerial image is proposed

which is able to cope with the problems of low speed and accuracy of generating large field of view image with aerial image mosaic in maritime supervision. First

scanning range of the angular point detection is narrowed according to the feature of aerial image. The gradient threshold and corner response function threshold are used to extract Harris corner. Keeping the max value of local corner response function value is adopted to uniform the feature point distribution. After that

the improved phase correlation of template matching algorithm and improved RANSAC matching algorithm with constraint features are applied to obtain the optimal transformation matrix. Last

according to human visual characteristics

the improved factor of weighted average image fusion algorithm is applied to obtain a seamless image. Experimental results show that the algorithm has better adaptability. And the method overcomes the shortcoming of traditional mosaic methods

since the efficiency and accuracy of stitching are improved greatly.