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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-W3-25-2017</article-id>
<title-group>
<article-title>THE EFFECT OF UNDERWATER IMAGERY RADIOMETRY ON 3D
RECONSTRUCTION AND ORTHOIMAGERY</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Agrafiotis</surname>
<given-names>P.</given-names>
<ext-link>https://orcid.org/0000-0003-4474-5007</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>Drakonakis</surname>
<given-names>G. 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>Georgopoulos</surname>
<given-names>A.</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>Skarlatos</surname>
<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>National Technical University of Athens, School of Rural and Surveying Engineering, Lab. of Photogrammetry Zografou Campus, 9 Heroon Polytechniou str., 15780, Zografou, Athens, Greece</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Cyprus University of Technology, Civil Engineering and Geomatics Dept., Lab of Photogrammetric Vision 2-8 Saripolou str., 3036, Limassol, Cyprus</addr-line>
</aff>
<pub-date pub-type="epub">
<day>23</day>
<month>02</month>
<year>2017</year>
</pub-date>
<volume>XLII-2/W3</volume>
<fpage>25</fpage>
<lpage>31</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2017 P. Agrafiotis 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 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-archives.copernicus.org/articles/XLII-2-W3/25/2017/isprs-archives-XLII-2-W3-25-2017.html">This article is available from https://isprs-archives.copernicus.org/articles/XLII-2-W3/25/2017/isprs-archives-XLII-2-W3-25-2017.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-2-W3/25/2017/isprs-archives-XLII-2-W3-25-2017.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-2-W3/25/2017/isprs-archives-XLII-2-W3-25-2017.pdf</self-uri>
<abstract>
<p>The work presented in this paper investigates the effect of the radiometry of the underwater imagery on automating the 3D
reconstruction and the produced orthoimagery. Main aim is to investigate whether pre-processing of the underwater imagery
improves the 3D reconstruction using automated SfM - MVS software or not. Since the processing of images either separately or in
batch is a time-consuming procedure, it is critical to determine the necessity of implementing colour correction and enhancement
before the SfM - MVS procedure or directly to the final orthoimage when the orthoimagery is the deliverable. Two different test sites
were used to capture imagery ensuring different environmental conditions, depth and complexity. Three different image correction
methods are applied: A very simple automated method using Adobe Photoshop, a developed colour correction algorithm using the
CLAHE (Zuiderveld, 1994) method and an implementation of the algorithm described in Bianco et al., (2015). The produced point
clouds using the initial and the corrected imagery are then being compared and evaluated.</p>
</abstract>
<counts><page-count count="7"/></counts>
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