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

机译:缝合矫正器切割区域的计算效率评价

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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.
机译:中央投影的功能将导致UAV航天照片的像素偏移。这个问题可以通过纠正由密集点云构成的DEM的浮雕移位来解决。在图像处理过程中,在最多的时间内创建了密集点云。通过将图像切割成块以减少高密度点云的创建时间是本文的主要问题。整个区域和块切割之间的坐标差是另一个讨论。所有在整个区域中,选择16个特征点是检查点。当图像块合并时,如果两个点之间的差异小于1像素,则图像块切割方法将被认为是可行的。通过将图像切割成块,可以以并行和分布方式执行。它可以减少硬件要求并使匹配点的差异。这是纸张的贡献。

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