Analysis of the Influence of Background Areas on the Registration Efficiency of Multiple Images Bridge Structures

R. Magdeev, G. Safina, A. Tashlinskii
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Abstract

The paper analyzes the influence of different background areas on the image of a bridge structure on the quality of registration of multi-temporal images of one section using stochastic algorithms. In this case, the images were obtained from an unmanned aerial vehicle having a difference in the coordinates of their acquisition. The influence of registration parameters of images for the sky area, soil cover and the shape of the structure is analyzed under the assumption that the mutual spatial deformations of the images are described by a similarity model. It is shown that the results can be used to search for newly appeared objects in the area of interest.
背景面积对多图像桥结构配准效率的影响分析
本文分析了不同背景区域对桥梁结构图像的影响,利用随机算法对同一截面的多时相图像进行配准。在这种情况下,图像是从无人机获得的,其获取坐标存在差异。在假设图像相互空间变形用相似模型描述的前提下,分析了图像配准参数对天空面积、土壤覆盖和结构形状的影响。结果表明,该结果可用于搜索感兴趣区域中新出现的物体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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