Evaluation of computational efficiency on image-block cutting area in stitching orthophoto

The feature of central projection will result the pixels offset for UAV aerial photos. This problem can be solved by way of correcting relief displacement of DEM that was constructed by dense point cloud. During the image processing procedure, the creation of dense point cloud spent the most time. By cutting the image into blocks to reduce the creating time of high dense point cloud is the main issue of this paper. The coordinate difference between the whole area and the block cutting are another discussion. All in the whole area, 16 feature points were selected to be the check points. When image blocks were merging back, if the difference between two points is less than 1 pixel, the image-block cutting method will be considered workable. By cutting an image into blocks, it can be performed in parallel and distributed way. It can reduce the hardware requirement and make the difference of points matched. This is the contribution of the paper.