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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-W2-163-2013</article-id>
<title-group>
<article-title>ASPECTS OF DEM GENERATION FROM UAS IMAGERY</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Greiwe</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>Gehrke</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>Spreckels</surname>
<given-names>V.</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>Schlienkamp</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department Architecture, Civil Engineering and Geomatics, Fachhochschule Frankfurt am Main, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>RAG Aktiengesellschaft, RAG Deutsche Steinkohle, Geschaeftsbereich Standort- und Geodienste, Herne, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>16</day>
<month>08</month>
<year>2013</year>
</pub-date>
<volume>XL-1/W2</volume>
<fpage>163</fpage>
<lpage>167</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2013 A. Greiwe et al.</copyright-statement>
<copyright-year>2013</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-W2/163/2013/isprs-archives-XL-1-W2-163-2013.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-1-W2/163/2013/isprs-archives-XL-1-W2-163-2013.pdf</self-uri>
<abstract>
<p>Since a few years, micro UAS (unmanned aerial systems) with vertical take off and landing capabilities like quadro- or octocopter
are used as sensor platform for Aerophotogrammetry. Since the restricted payload of micro UAS with a total weight up of 5 kg
(payload only up to 1.5 kg), these systems are often equipped with small format cameras. These cameras can be classified as
amateur cameras and it is often the case, that these systems do not meet the requirements of a geometric stable camera for
photogrammetric measurement purposes. However, once equipped with a suitable camera system, an UAS is an interesting
alternative to expensive manned flights for small areas.&lt;br&gt;&lt;br&gt;
The operating flight height of the above described UAS is about 50 up to 150 meters above ground level. This low flight height
lead on the one hand to a very high spatial resolution of the aerial imagery. Depending on the cameras focal length and the sensor&apos;s
pixel size, the ground sampling distance (GSD) is usually about 1 up to 5 cm. This high resolution is useful especially for the
automatic generation of homologous tie-points, which are a precondition for the image alignment (bundle block adjustment).&lt;br&gt;&lt;br&gt;
On the other hand, the image scale depends on the object&apos;s height and the UAV operating height. Objects like mine heaps or
construction sites show high variations of the object&apos;s height. As a result, operating the UAS with a constant flying height will lead
to high variations in the image scale. For some processing approaches this will lead to problems e.g. the automatic tie-point
generation in stereo image pairs.&lt;br&gt;&lt;br&gt;
As precondition to all DEM generating approaches, first of all a geometric stable camera, sharp images are essentially. Well known
calibration parameters are necessary for the bundle adjustment, to control the exterior orientations. It can be shown, that a
simultaneous on site camera calibration may lead to misaligned aerial images. Also, the success rate of an automatic tie-point
generation differs extremely between several photogrammetric software packages.&lt;br&gt;&lt;br&gt;
In this article, the calibration results of a suitable camera system will be shown. For a small format consumer grade camera, the
authors will give the proof of ability for photogrammetric measurements purposes. This includes the results of different processing
approaches for DEM generation of environments showing high object height variations.</p>
</abstract>
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