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Recent studies on image stitching have been extensively conducted to stitch panoramic or 360 • images using a small number of input images. The stitching of aerial images, that are captured by unmanned aerial vehicles (UAVs), has various practical applications. In this paper, we propose a fast adaptive stitching algorithm for handling numerous aerial images. First, the proposed method analyzes the relative positions and overlapping regions of the UAV image footprints by exploiting their geotagdoi:10.1109/access.2021.3111203 fatcat:xtd34rblxbc5bg5dfpepcfw3ui