An Approach of Fast Mosaic for Serial Remote Sensing Images from UAV

Based on the values of external orientation elements of the camera installed on the unmanned aerial vehicle (UAV), the nearest-neighbor interpolation is adopted to rectify original images geometrically. The range of the overlapping region between two consecutive images is determined by the flying status parameters of UAV. Both of the overlapping regions of the two images are processed to binary image at first. In the appointed binary image region of the former image, feature template is searched and extracted. By the XOR operation, some possible matching positions of the latter image are got. Furthermore, normalized correlation method (NC) is adopted to validate the optimal matching position, by which two consecutive images are mosaicked to an image. An intensity transformation function between the two consecutive images is built to smooth the mosaicked image. Simulation experimental results show that the approach presented is effective.