SAR Ship–Iceberg Discrimination in Arctic Conditions Using Deep Learning

Maritime surveillance of the Arctic region is of growing importance as shipping, fishing and tourism are increasing due to the sea ice retreat caused by global warming. Ships that do not identify themselves with a transponder system, so-called dark ships, pose a security risk. They can be detected b...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Peder Heiselberg, Kristian A. Sørensen, Henning Heiselberg, Ole B. Andersen
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2022-05-01
Saila:Remote Sensing
Gaiak:
Synthetic Aperture Radar (SAR)
convolutional neural network (CNN)
deep learning
Automatic Identification System (AIS)
ship detection
ship–iceberg discrimination
Sarrera elektronikoa:https://www.mdpi.com/2072-4292/14/9/2236
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