Publikation: Dissertationsschrift

Deep learning-based vessel detection from very high and medium resolution optical satellite images as component of maritime surveillance systems

Grunddaten
Abstract
Autoren

Grunddaten

Titel	Deep learning-based vessel detection from very high and medium resolution optical satellite images as component of maritime surveillance systems
Erscheinungsjahr	2020
Verlag	Universität Rostock
Verlagsort	Rostock
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
DOI	10.18453/rosdok_id00002876
Letzte Änderung	09.01.2021 06:05:20
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/64731
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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).

Autor

Voinov, Sergey