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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/isprs-annals-IV-4-W4-135-2017</article-id>
<title-group>
<article-title>UAV AND COMPUTER VISION, DETECTION OF INFRASTRUCTURE LOSSES AND 3D MODELING</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Barrile</surname>
<given-names>V.</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>Bilotta</surname>
<given-names>G.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nunnari</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Geomatics Lab, DICEAM, Università Mediterranea di Reggio Calabria, 89123 loc. Feo di Vito, Reggio Calabria, Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Dept. of Planning, IUAV University of Venice, Santa Croce 191, Tolentini 30135 Venice, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>13</day>
<month>11</month>
<year>2017</year>
</pub-date>
<volume>IV-4/W4</volume>
<fpage>135</fpage>
<lpage>139</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2017 V. Barrile 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>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/IV-4-W4/135/2017/isprs-annals-IV-4-W4-135-2017.html">This article is available from https://isprs-annals.copernicus.org/articles/IV-4-W4/135/2017/isprs-annals-IV-4-W4-135-2017.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/IV-4-W4/135/2017/isprs-annals-IV-4-W4-135-2017.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/IV-4-W4/135/2017/isprs-annals-IV-4-W4-135-2017.pdf</self-uri>
<abstract>
<p>The degradation of buildings, or rather the decline of their initial performances following external agents both natural (cold-thaw, earthquake, salt, etc.) and artificial (industrial field, urban setting, etc.), in the years lead to the necessity of developing Non-Destructive Testing (NDT) intended to give useful information for an explanation of a potential deterioration without damaging the state of buildings. An accurate examination of damages, of the repeat of cracks in condition of similar stress, indicate the existence of principles that control the creation of these events. There is no doubt that a precise visual analysis is at the bottom of a correct evaluation of the building.
&lt;br&gt;&lt;br&gt;
This paper deals with the creation of 3D models based on the capture of digital images, through autopilot flight UAV, for civil buildings situated on the area of Reggio Calabria. The following elaboration is done thanks to the use of commercial software, based on specific algorithms of the Structure from Motion (SfM) technique. SfM represents an important progress in the aerial and terrestrial survey field obtaining results, in terms of time and quality, comparable to those achievable through more traditional data capture methodologies.</p>
</abstract>
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</article-meta>
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