TY  - BOOK
AU  - Voinov, Sergey
PY  - 2020
DA  - 2020//
TI  - Deep learning-based vessel detection from very high and medium resolution optical satellite images as component of maritime surveillance systems
PB  - Universität Rostock
CY  - Rostock
AB  - 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>
UR  - http://purl.uni-rostock.de/rosdok/id00002876
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002876-8
UR  - https://d-nb.info/1293661988/34
UR  - https://doi.org/10.18453/rosdok_id00002876
DO  - 10.18453/rosdok_id00002876
LA  - English
N1  - vorgelegt von Sergey Voinov
ID  - 1743811403
ER  -