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<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>ISPRS</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XXXVIII-1-C22-51-2011</article-id>
<title-group>
<article-title>A UAV-BASED ROE DEER FAWN DETECTION SYSTEM</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Israel</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Remote Sensing Technology Institute, Experimental Methods German Aerospace Center Oberpfaffenhofen, 82234 Wessling, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>06</day>
<month>09</month>
<year>2012</year>
</pub-date>
<volume>XXXVIII-1/C22</volume>
<fpage>51</fpage>
<lpage>55</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2011 M. Israel</copyright-statement>
<copyright-year>2011</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/XXXVIII-1-C22/51/2011/isprs-archives-XXXVIII-1-C22-51-2011.html">This article is available from https://isprs-archives.copernicus.org/articles/XXXVIII-1-C22/51/2011/isprs-archives-XXXVIII-1-C22-51-2011.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXVIII-1-C22/51/2011/isprs-archives-XXXVIII-1-C22-51-2011.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXVIII-1-C22/51/2011/isprs-archives-XXXVIII-1-C22-51-2011.pdf</self-uri>
<abstract>
<p>This paper presents a UAV based remote sensing system for the detection of fawns in the meadows. There is a high demand because during pasture mowing many wild animals, especially roe deer fawns are killed by mowing machines. The system was tested in several real situations especially with diﬀering weather and iluminating conditions. Its primary sensor is a lightweight thermal infrared camera. The images are captured onboard of the ﬂight system and also transmitted as analog video stream to the ground station, where the user can follow the camera live stream on a monitor for manual animal detection. Beside a high detection rate a fast workﬂow is another very important objective for this application. Therefore a waypoint planning software was developed that accelerates the workﬂow. At adequate illuminating and weather conditions the presented UAV-based fawn detection via thermal imaging is a comfortable, fast and reliable method.</p>
</abstract>
<counts><page-count count="5"/></counts>
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