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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>ISPRS</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XXXIX-B5-297-2012</article-id>
<title-group>
<article-title>A NOVEL IMAGE ACQUISITION AND PROCESSING PROCEDURE FOR FAST TUNNEL DSM PRODUCTION</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Roncella</surname>
<given-names>R.</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>Umili</surname>
<given-names>G.</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>Forlani</surname>
<given-names>G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>DICATeA, University of Parma, 43124 Parma, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>28</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B5</volume>
<fpage>297</fpage>
<lpage>302</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 R. Roncella et al.</copyright-statement>
<copyright-year>2012</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>
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<abstract>
<p>In mining operations the evaluation of the stability condition of the excavated front are critic to ensure a safe and correct planning of
the subsequent activities. The procedure currently used to this aim has some shortcomings: safety for the geologist, completeness of
data collection and objective documentation of the results. In the last decade it has been shown that the geostructural parameters
necessary to the stability analysis can be derived from high resolution digital surface models (DSM) of rock faces. With the objective
to overcome the limitation of the traditional survey and to minimize data capture times, so reducing delays on mining site operations,
a photogrammetric system to generate high resolution DSM of tunnels has been realized. A fast, effective and complete data capture
method has been developed and the orientation and restitution phases have been largely automated. The survey operations take no
more than required to the traditional ones; no additional topographic measurements other than those available are required. To make
the data processing fast and economic our Structure from Motion procedure has been slightly modified to adapt to the peculiar block
geometry while, the DSM of the tunnel is created using automatic image correlation techniques. The geomechanical data are sampled
on the DSM, by using the acquired images in a GUI and a segmentation procedure to select discontinuity planes. To allow an easier
and faster identification of relevant features of the surface of the tunnel, using again an automatic procedure, an orthophoto of the
tunnel is produced. A case study where a tunnel section of ca. 130 m has been surveyed is presented.</p>
</abstract>
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