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    <title>Of plants and pixels</title>
    <subTitle>leveraging biological priors for ecological data analysis when generic methods fall short</subTitle>
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  <abstract type="Summary">This interdisciplinary PhD project aimed to accelerate several data analysis tasks in ecological research that are too timeconsuming to perform manually. For some specific tasks, such as instance segmentation of tree rings or root turnover estimation, the performance of existing, generic methods failed to meet the desired level of accuracy. This led to the development of new algorithms which constitute the main part of this thesis. Incorporating domain-specific prior knowledge has shown to be essential in their development.&lt;eng&gt;</abstract>
  <abstract type="Summary">Ziel dieser interdisziplinären Arbeit war es, mehrere Datenanalyseaufgaben in der ökologischen Forschung zu beschleunigen, die für manuelle Durchführung zu zeitaufwändig sind. Für einige spezifische Aufgaben, wie z.B. die Instanzsegmentierung von Baumringen oder die Schätzung des Wurzelumsatzes, erfüllte die Erkennungsleistung vorhandener, generischer Methoden nicht das gewünschte Genauigkeitsniveau. Dies führte zur Entwicklung neuer Algorithmen, die den Hauptteil dieser Arbeit ausmachen. Einbeziehung von domänenspezifischem Vorwissen hat sich als wesentlich für deren Entwicklung erwiesen.&lt;ger&gt;</abstract>
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  <note type="statement of responsibility">vorgelegt von Alexander Gillert</note>
  <note>Enthält Zeitschriftenartikel</note>
  <note>GutachterInnen: Uwe Freiherr von Lukas (University of Rostock, Fraunhofer IGD) ; Oliver Staadt (University of Rostock) ; Reinhard Koch (Christian-Albrecht University of Kiel)</note>
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