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A Sub-pixel registration method of UAV oblique images

机译:无人机倾斜图像的亚像素配准方法

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摘要

Since UAV oblique sequence images have large differences in perspective, it is difficult to achieve fully automatic, highly accurate registration using conventional image registration methods. To solve this problem, we present a sub-pixel image registration method based on ASIFT. Position of match points is corrected using the weighted least squares algorithm affine model (WLSM) one by one. Characteristics are selected and initial parameters estimation is also done through adaptive maximum cross-correlation algorithm (NCC). Experiments show that the proposed method is superior to conventional methods, such as SIFT and ASIFT, and this Method can achieve sub-pixel level registration precision.
机译:由于无人机倾斜序列图像的视角差异很大,因此难以使用常规图像配准方法实现全自动,高精度的配准。为了解决这个问题,我们提出了一种基于ASIFT的亚像素图像配准方法。使用加权最小二乘算法仿射模型(WLSM)一对一地校正匹配点的位置。通过自适应最大互相关算法(NCC)选择特性并进行初始参数估计。实验表明,该方法优于传统方法,如SIFT和ASIFT,该方法可以达到亚像素级配准精度。

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