@Book{1743811403,
author="Voinov, Sergey",
title="Deep learning-based vessel detection from very high and medium resolution optical satellite images as component of maritime surveillance systems",
year="2020",
address="Rostock",
abstract="This thesis presents an end-to-end multiclass vessel detection method from optical satellite images. The proposed workflow covers the complete processing chain and involves rapid image enhancement techniques, the fusion with automatic identification system (AIS) data, and the detection algorithm based on convolutional neural networks (CNN). The algorithms presented are implemented in the form of independent software processors and integrated in an automated processing chain as part of the Earth Observation Maritime Surveillance System (EO-MARISS).<eng>",
school="Universit{\"a}t Rostock",
note="vorgelegt von Sergey Voinov",
note="GutachterInnen: Ralf Bill (Universit{\"a}t Rostock, Agrar- und Umweltwissenschaftliche Fakult{\"a}t, Geod{\"a}sie und Geoinformatik) ; Frank Heymann (Deutsches Zentrum f{\"u}r Luft- und Raumfahrt (DLR), Institut f{\"u}r Solar-Terrestrische Physik) ; Peter Reinartz (Deutsches Zentrum f{\"u}r Luft- und Raumfahrt (DLR), Institut f{\"u}r Methodik der Fernerkundung, Photogrammetrie und Bildanalyse)",
note="Dissertation Universit{\"a}t Rostock 2020",
doi="10.18453/rosdok_id00002876",
url="http://purl.uni-rostock.de/rosdok/id00002876",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002876-8",
url="https://d-nb.info/1293661988/34",
url="https://doi.org/10.18453/rosdok_id00002876",
language="English"
}