Publikation: Dissertationsschrift

Of plants and pixels: leveraging biological priors for ecological data analysis when generic methods fall short

Grunddaten
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Of plants and pixels: leveraging biological priors for ecological data analysis when generic methods fall short
Erscheinungsjahr	2023
Verlag	Universität Rostock
Verlagsort	Rostock
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
DOI	10.18453/rosdok_id00004597
Letzte Änderung	13.06.2024 06:02:16
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/71833
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Abstract

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.

Autor

Gillert, Alexander

Einrichtung

Fakultät für Informatik und Elektrotechnik (IEF)