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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-1-189-2014</article-id>
<title-group>
<article-title>Performance of a real-time sensor and processing system on a helicopter</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kurz</surname>
<given-names>F.</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>Rosenbaum</surname>
<given-names>D.</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>Meynberg</surname>
<given-names>O.</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>Mattyus</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>Reinartz</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>DLR, German Aerospace Center, Oberpfaffenhofen, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>07</day>
<month>11</month>
<year>2014</year>
</pub-date>
<volume>XL-1</volume>
<fpage>189</fpage>
<lpage>193</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 F. Kurz 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-1/189/2014/isprs-archives-XL-1-189-2014.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-1/189/2014/isprs-archives-XL-1-189-2014.pdf</self-uri>
<abstract>
<p>A new optical real-time sensor system (4k system) on a helicopter is now ready to use for applications during disasters, mass events
and traffic monitoring scenarios. The sensor was developed light-weighted, small with relatively cheap components in a pylon
mounted sideward on a helicopter. The sensor architecture is finally a compromise between the required functionality, the
development costs, the weight and the sensor size. Aboard processors are integrated in the 4k sensor system for orthophoto
generation, for automatic traffic parameter extraction and for data downlinks. It is planned to add real-time processors for person
detection and tracking, for DSM generation and for water detection. Equipped with the newest and most powerful off-the-shelf
cameras available, a wide variety of viewing configurations with a frame rate of up to 12 Hz for the different applications is possible.
Based on three cameras with 50 mm lenses which are looking in different directions, a maximal FOV of 104° is reachable; with
100 mm lenses a ground sampling distance of 3.5 cm is possible at a flight height of 500 m above ground.
&lt;br&gt;&lt;br&gt;
In this paper, we present the first data sets and describe the technical components of the sensor. The effect of vibrations of the
helicopter on the GNSS/IMU accuracy and on the 4k video quality is analysed. It can be shown, that if the helicopter hoovers the
rolling shutter effect affects the 4k video quality drastically. The GNSS/IMU error is higher than the specified limit, which is mainly
caused by the vibrations on the helicopter and the insufficient vibrational absorbers on the sensor board.</p>
</abstract>
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