<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>4909</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>142</pageFirst>
    <pageLast>149</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>31</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Transferability of Deep Learning Models &#13;
for Land Use/Land Cover Classification</title>
    <parentTitle language="deu">43. Wissenschaftlich-Technische Jahrestagung der DGPF in München. 22.-23. März 2023 in München -  Publikationen der DGPF</parentTitle>
    <identifier type="doi">10.24407/KXP:1841078182</identifier>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Maximilian Hell</author>
    <author>Melanie Brandmeier</author>
    <author>Andreas Nüchter</author>
    <collection role="institutes" number="fkv">Fakultät Kunststofftechnik und Vermessung</collection>
  </doc>
</export-example>
