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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/isprs-archives-XLVIII-1-W2-2023-1607-2023</article-id>
<title-group>
<article-title>HIGH-RESOLUTION SATELLITE IMAGE TRIFOCAL TENSOR SOLUTION</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</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>Pan</surname>
<given-names>H.</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>Huang</surname>
<given-names>T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>School of Geosciences and Info-Physics, Central South University, #932 Lunan Road, Changsha, Hunan Province 410083, P.R. China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>13</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>XLVIII-1/W2-2023</volume>
<fpage>1607</fpage>
<lpage>1612</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2023 S. Yang et al.</copyright-statement>
<copyright-year>2023</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1607/2023/isprs-archives-XLVIII-1-W2-2023-1607-2023.html">This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1607/2023/isprs-archives-XLVIII-1-W2-2023-1607-2023.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1607/2023/isprs-archives-XLVIII-1-W2-2023-1607-2023.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1607/2023/isprs-archives-XLVIII-1-W2-2023-1607-2023.pdf</self-uri>
<abstract>
<p>This study presents an efficient algorithm for solving the affine trifocal tensor problem in &amp;nbsp;high-resolution satellite imagery. Because the imaging mode of high-resolution satellites is usually a line-center projection and the field of view is small, it can be approximated as an affine camera for orientation. However, the nature of high-resolution satellite trifocal tensors has not been effectively studied or discussed. To address the shortcomings of the current trifocal tensor direct linear algorithm, this study proposes a minimally parameterized trifocal calculation method that can stably calculate the affine trifocal tensors of high-resolution satellites. Efficacy was demonstrated using ZY3-02 and Pleiades-Neo data.</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
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