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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-W3-241-2013</article-id>
<title-group>
<article-title>TRAFFIC FLOW ESTIMATION FROM SINGLE SATELLITE IMAGES</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Krauß</surname>
<given-names>T.</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>Stätter</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>Philipp</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>Bräuninger</surname>
<given-names>S.</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, 82234 Oberpfaffenhofen, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>24</day>
<month>09</month>
<year>2013</year>
</pub-date>
<volume>XL-1/W3</volume>
<fpage>241</fpage>
<lpage>246</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2013 T. Krauß 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>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-1-W3/241/2013/isprs-archives-XL-1-W3-241-2013.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-1-W3/241/2013/isprs-archives-XL-1-W3-241-2013.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-1-W3/241/2013/isprs-archives-XL-1-W3-241-2013.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-1-W3/241/2013/isprs-archives-XL-1-W3-241-2013.pdf</self-uri>
<abstract>
<p>Exploiting a special focal plane assembly of most satellites allows for the extraction of moving objects from only one multispectral
satellite image. Push broom scanners as used on most earth observation satellites are composed of usually more than one CCD line &amp;ndash;
mostly one for multispectral and one for panchromatic acquisistion. Some sensors even have clearly separated CCD lines for different
multispectral channels. Such satellites are for example WorldView-2 or RapidEye.
&lt;br&gt;&lt;br&gt;
During the Level-0-processing of the satellite data these bands get coregistered on the same ground level which leads to correct multispectral
and exactly fitting pan images. But if objects are very high above the coregistering plane or are moving significantly in between
the short acquisition time gap these objects get registered on different points in different channels.
&lt;br&gt;&lt;br&gt;
Measuring relative distances of these objects between these channels and knowing the acquisition time gap allows retrieving the speed
of the objects or the height above the coregistering plane.
&lt;br&gt;&lt;br&gt;
In this paper we present our developed method in general for different satellite systems &amp;ndash; namely RapidEye, WorldView-2 and the
new Pl´eiades system. The main challenge in most cases is nevertheless the missing knowledge of the acquisition time gap between
the different CCD lines and often even of the focal plane assembly. So we also present our approach to receive a coarse focal plane
assembly model together with a most likely estimation of the acqusition time gaps for the different systems.</p>
</abstract>
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