A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit <a rel="external noopener" href="https://arxiv.org/ftp/arxiv/papers/2004/2004.09811.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Filters
Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation
[article]
<span title="2020-04-21">2020</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
Preserved Fulltext
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>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200503070254/https://arxiv.org/ftp/arxiv/papers/2004/2004.09811.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
</button>
</a>
<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.09811v1" title="arxiv.org access">
<button class="ui compact blue labeled icon button serp-button">
<i class="file alternate outline icon"></i>
arxiv.org
</button>
</a>