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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ICA-Adv</journal-id>
<journal-title-group>
<journal-title>Advances in Cartography and GIScience of the ICA</journal-title>
<abbrev-journal-title abbrev-type="publisher">ICA-Adv</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Adv. Cartogr. GIScience Int. Cartogr. Assoc.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2570-2084</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/ica-adv-5-8-2025</article-id>
<title-group>
<article-title>Multitype Drone Mapping Technology Based on Refined Real-Scene 3D Modeling</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chen</surname>
<given-names>Lingfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ji</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lyu</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Du</surname>
<given-names>Anqi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Huang</surname>
<given-names>Xiangxiang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Big Data and Artificial Intelligence, Chizhou University, Chizhou, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>20</day>
<month>10</month>
<year>2025</year>
</pub-date>
<volume>5</volume>
<elocation-id>8</elocation-id>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Lingfeng Chen et al.</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://ica-adv.copernicus.org/articles/5/8/2025/ica-adv-5-8-2025.html">This article is available from https://ica-adv.copernicus.org/articles/5/8/2025/ica-adv-5-8-2025.html</self-uri>
<self-uri xlink:href="https://ica-adv.copernicus.org/articles/5/8/2025/ica-adv-5-8-2025.pdf">The full text article is available as a PDF file from https://ica-adv.copernicus.org/articles/5/8/2025/ica-adv-5-8-2025.pdf</self-uri>
<abstract>
<p>With the rapid advancement of drone technology, its applications in the field of mapping have been continuously expanding in both scope and depth. Compared to traditional mapping techniques, drones have emerged as a critical tool for geographic information collection due to their efficiency, flexibility, and cost-effectiveness. This paper focuses on widely used flight path planning methods for drones in the context of mapping and proposes an object-oriented three-dimensional(3D) flight path planning method, which enables more intelligent and precise flight path planning by integrating the characteristics of object features. Additionally, the study explores mapping techniques based on refined 3D models, where the refined models are utilized to generate various types of mapping products. The findings of this research offer novel solutions and promising development prospects for the drone-based mapping industry, paving the way for smarter, more accurate, and diversified mapping applications.</p>
</abstract>
<counts><page-count count="8"/></counts>
</article-meta>
</front>
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