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Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation [article]

Bai Zhu, Yuanxin Ye, Chao Yang, Liang Zhou, Huiyu Liu, Yungang Cao
<span title="2020-04-21">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Subsequently, a robust structural feature descriptor is build based on dense gradient features, and the 3D phase correlation is used to detect control points (CPs) between aerial images and LiDAR data  ...  To tackle the problem, this paper proposes an automatic registration method based on structural features and three-dimension (3D) phase correlation.  ...  ACKNOWLEDGEMENTS This paper is supported by the National Natural Science Foundation of China (No.41971281).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.09811v1">arXiv:2004.09811v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zoy6svzteranvluqo7p7odynky">fatcat:zoy6svzteranvluqo7p7odynky</a> </span>
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