像控点布设对无人机小范围非规则区域实景建模精度的影响

Effect of image control point layout on the accuracy of real-world modeling of small-scale irregular areas of UAVs

  • 摘要: 像控点布设方式和数量对实景建模精度有重要影响. 本文选取阜阳市临泉县某0.25 km2非规则区域为实验区,另选两个非规则型的验证区(0.27 km2和0.28 km2),按边缘布设、边缘加少量中心布设、中心布设三种不同的像控点布设方式进行实景模型构建,对比分析像控点数量和布设位置对模型精度的影响特征. 结果表明:1) 当像控点连线围成的凸多边形包含整个非规则测区时,才能有效保证构建的模型精度. 2) 在1∶500 比例尺测图精度的要求下,边缘布设五个像控点为最佳点位布设方式,满足高效率、高精度、低成本的建模要求. 3) 在像控点布设位置理想的情况下,增加布设数量并不能显著提升实景模型精度,像控点应按需布设.

     

    Abstract: The layout and number of image control points have an important impact on the accuracy of real-world modeling. In this paper, a 0.25 km2 irregular area in Linquan County, Fuyang City is selected as the experimental area, and two irregular verification areas (0.27 and 0.28 km2) are selected. The real-world model is constructed according to three different image control point layout methods: edge layout, edge plus a small center layout, and center layout. The characteristics of the influence of the number of image control points and the layout position on the accuracy of the model are compared and analyzed. The results show that: 1) The accuracy of the model can only be effectively guaranteed when the convex polygon surrounded by the image control point line contains the entire irregular measurement area. 2) Under the requirements of 1∶500 scale mapping accuracy, five image points are arranged at the edges as the best point layout method, which meets the modeling requirements of high efficiency, high precision and low cost. 3) In the case of ideal placement of image control points, increasing the number of layouts can not significantly improve the accuracy of the real-world model. Image control points should be arranged as needed.

     

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