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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-8-1213-2014</article-id>
<title-group>
<article-title>Automatic geolocation of targets tracked by aerial imaging platforms using satellite imagery</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shukla</surname>
<given-names>P. K.</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>Goel</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>Singh</surname>
<given-names>P.</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>Lohani</surname>
<given-names>B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Geoinfomatics Laboratory, Dept. of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India</addr-line>
</aff>
<pub-date pub-type="epub">
<day>28</day>
<month>11</month>
<year>2014</year>
</pub-date>
<volume>XL-8</volume>
<fpage>1213</fpage>
<lpage>1220</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 P. K. Shukla 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>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-8/1213/2014/isprs-archives-XL-8-1213-2014.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-8/1213/2014/isprs-archives-XL-8-1213-2014.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-8/1213/2014/isprs-archives-XL-8-1213-2014.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-8/1213/2014/isprs-archives-XL-8-1213-2014.pdf</self-uri>
<abstract>
<p>Tracking of targets from aerial platforms is an important activity in several applications, especially surveillance. Knowled ge of
geolocation of these targets adds additional significant and useful information to the application. This paper determines the
geolocation of a target being tracked from an aerial platform using the technique of image registration. Current approaches utilize a
POS to determine the location of the aerial platform and then use the same for geolocation of the targets using the principle of
photogrammetry. The constraints of cost and low-payload restrict the applicability of this approach using UAV platforms. This
paper proposes a methodology for determining the geolocation of a target tracked from an aerial platform in a partially GPS devoid
environment. The method utilises automatic feature based registration technique of a georeferenced satellite image with an ae rial
image which is already stored in UAV&apos;s database to retrieve the geolocation of the target. Since it is easier to register subsequent
aerial images due to similar viewing parameters, the subsequent overlapping images are registered together sequentially thus
resulting in the registration of each of the images with georeferenced satellite image thus leading to geolocation of the target under
interest. Using the proposed approach, the target can be tracked in all the frames in which it is visible. The proposed concept is
verified experimentally and the results are found satisfactory. Using the proposed method, a user can obtain location of target of
interest as well features on ground without requiring any POS on-board the aerial platform. The proposed approach has
applications in surveillance for target tracking, target geolocation as well as in disaster management projects like search and rescue
operations.</p>
</abstract>
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