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Real-time Terrain Matching Based on 3D Zernike Moments

机译:基于3D Zernike矩的实时地形匹配

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摘要

Since the descriptors based on Three-Dimensional (3D) Zernike moments are robust to geometric transformations and noise, they have been proposed for terrain matching. However, terrain matching algorithms based on 3D Zernike Moments (3DZMs) are often difficult to implement in practice since they are computationally intensive. This paper presents a more efficient real-time terrain matching algorithm based on 3DZMs for land applications. Two efficient methods based on coordinate transformation and symmetry are proposed to compute the geometric moments. The impact of the sample difference on the matching result due to heading angle is investigated to prove the feasibility of using a circular template. Consequently, the terrain feature vectors of the reference map can be computed off-line with the circular template to significantly reduce on-line computation. Numerical experiments on a real digital elevation model demonstrate that the proposed algorithm is robust to the heading angle and can be implemented for real-time terrain matching operations.
机译:由于基于三维(3D)Zernike矩的描述符对于几何变换和噪声具有鲁棒性,因此已提出将它们用于地形匹配。但是,基于3D Zernike矩(3DZM)的地形匹配算法通常难以在实践中实现,因为它们的计算量很大。本文针对土地应用提出了一种基于3DZM的更有效的实时地形匹配算法。提出了两种基于坐标变换和对称性的有效方法来计算几何矩。研究了方向差对样本差异对匹配结果的影响,证明了使用圆形模板的可行性。因此,可以使用圆形模板离线计算参考地图的地形特征向量,从而显着减少在线计算。在真实数字高程模型上的数值实验表明,该算法对航向角具有鲁棒性,可用于实时地形匹配操作。

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