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RESEARCH ON THE PICTURE COLLECTED BY MICROMINIATURE AIRCRAFT TO CONSTRUCT DIGITAL ELEVATION MODEL

机译:微型飞机采集的图像构建数字高程模型的研究

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摘要

It is the primary step of the "digital city" that construct tridimensional digital map. We consider that construct it by computer vision base on the characteristic of the image microminiature aircraft collected. But the quantity of the pairs of the characteristic point cannot meet the request to construct Digital Elevation Model. This paper provide a latest correlate matching method base on Epipolar Constrain after introduce the characteristic point extract and matching, the paper adopt a precise Fundamental Matrix estimate algorithm to calculated epipolar equation and increase the matching point's quantity effectively. It has met the real time 's request by experimental verification.
机译:构建三维数字地图是“数字城市”的第一步。我们考虑通过计算机视觉根据收集的微型飞机图像的特征来构造它。但是特征点对的数量不能满足构建数字高程模型的要求。在介绍了特征点的提取和匹配之后,提出了一种基于对极约束的最新相关匹配方法,采用了精确的基本矩阵估计算法来计算对极方程,有效地增加了匹配点的数量。通过实验验证满足了实时性的要求。

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