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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/isprsarchives-XL-5-517-2014</article-id>
<title-group>
<article-title>Multispectral calibration to enhance the metrology performance of C-mount camera systems</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Robson</surname>
<given-names>S.</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>MacDonald</surname>
<given-names>L.</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>Kyle</surname>
<given-names>S. 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>Shortis</surname>
<given-names>M. R.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Dept. of Civil, Environmental &amp; Geomatic Engineering, UCL, London, UK</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia</addr-line>
</aff>
<pub-date pub-type="epub">
<day>06</day>
<month>06</month>
<year>2014</year>
</pub-date>
<volume>XL-5</volume>
<fpage>517</fpage>
<lpage>521</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 S. Robson et al.</copyright-statement>
<copyright-year>2014</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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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-5/517/2014/isprs-archives-XL-5-517-2014.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-5/517/2014/isprs-archives-XL-5-517-2014.pdf</self-uri>
<abstract>
<p>Low cost monochrome camera systems based on CMOS sensors and C-mount lenses have been successfully applied to a wide variety
of metrology tasks. For high accuracy work such cameras are typically equipped with ring lights to image retro-reflective targets as
high contrast image features. Whilst algorithms for target image measurement and lens modelling are highly advanced, including
separate RGB channel lens distortion correction, target image circularity compensation and a wide variety of detection and centroiding
approaches, less effort has been directed towards optimising physical target image quality by considering optical performance in narrow
wavelength bands. This paper describes an initial investigation to assess the effect of wavelength on camera calibration parameters for
two different camera bodies and the same ‘C-mount’ wide angle lens. Results demonstrate the expected strong influence on principal
distance, radial and tangential distortion, and also highlight possible trends in principal point, orthogonality and affinity parameters
which are close to the parameter estimation noise level from the strong convergent self-calibrating image networks.</p>
</abstract>
<counts><page-count count="5"/></counts>
</article-meta>
</front>
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