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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</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/isprsannals-II-3-W5-377-2015</article-id>
<title-group>
<article-title>ROAD ORTHOPHOTO/DTM GENERATION FROM MOBILE LASER SCANNING</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vallet</surname>
<given-names>B.</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>Papelard</surname>
<given-names>J.-P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>IGN, Laboratoire MATIS 73 Avenue de Paris 94165 Saint-Mandé, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>20</day>
<month>08</month>
<year>2015</year>
</pub-date>
<volume>II-3/W5</volume>
<fpage>377</fpage>
<lpage>384</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 B. Vallet</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/II-3-W5/377/2015/isprs-annals-II-3-W5-377-2015.html">This article is available from https://isprs-annals.copernicus.org/articles/II-3-W5/377/2015/isprs-annals-II-3-W5-377-2015.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/II-3-W5/377/2015/isprs-annals-II-3-W5-377-2015.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/II-3-W5/377/2015/isprs-annals-II-3-W5-377-2015.pdf</self-uri>
<abstract>
<p>This paper proposes a pipeline to produce road orthophoto and DTM from Mobile Laser Scanning (MLS). For the ortho, modern
laser scanners provide a reflectance information allowing for high quality grayscale images, at a much finer resolution than aerial
photography can offer. For DTM, MLS offers a much higher accuracy and density than aerial products. This increased precision and
resolution leverages new applications for both ortho and DEM. The first task is to filter ground vs non ground, then an interpolation is
conducted to build image tiles from the filtered points. Finally, multiple layers are registered and blended to allow for seamless fusion.
Our proposed approach achieves high quality products and scaling up is demonstrated.</p>
</abstract>
<counts><page-count count="8"/></counts>
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