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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</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/isprs-archives-XLII-2-W5-591-2017</article-id>
<title-group>
<article-title>A CRITICAL REVIEW OF AUTOMATED PHOTOGRAMMETRIC
PROCESSING OF LARGE DATASETS</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Remondino</surname>
<given-names>F.</given-names>
<ext-link>https://orcid.org/0000-0001-6097-5342</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nocerino</surname>
<given-names>E.</given-names>
<ext-link>https://orcid.org/0000-0003-3511-4967</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Toschi</surname>
<given-names>I.</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>Menna</surname>
<given-names>F.</given-names>
<ext-link>https://orcid.org/0000-0002-5365-8813</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>21</day>
<month>08</month>
<year>2017</year>
</pub-date>
<volume>XLII-2/W5</volume>
<fpage>591</fpage>
<lpage>599</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2017 F. Remondino et al.</copyright-statement>
<copyright-year>2017</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>
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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-2-W5/591/2017/isprs-archives-XLII-2-W5-591-2017.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-2-W5/591/2017/isprs-archives-XLII-2-W5-591-2017.pdf</self-uri>
<abstract>
<p>The paper reports some comparisons between commercial software able to automatically process image datasets for 3D reconstruction
purposes. The main aspects investigated in the work are the capability to correctly orient large sets of image of complex environments,
the metric quality of the results, replicability and redundancy. Different datasets are employed, each one featuring a diverse number of
images, GSDs at cm and mm resolutions, and ground truth information to perform statistical analyses of the 3D results. A summary of
(photogrammetric) terms is also provided, in order to provide rigorous terms of reference for comparisons and critical analyses.</p>
</abstract>
<counts><page-count count="9"/></counts>
</article-meta>
</front>
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