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

10.18453/rosdok_id00002876 Voinov, Sergey Sergey Voinov http://d-nb.info/gnd/122442994X https://orcid.org/0000-0003-1511-9728 Deep learning-based vessel detection from very high and medium resolution optical satellite images as component of maritime surveillance systems Universität Rostock 2020 004 Data processing Computer sciences 550 Earth sciences 2020 en http://purl.uni-rostock.de/rosdok/id00002876 urn:nbn:de:gbv:28-rosdok_id00002876-8 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).