Implementation of Improved Ship-Iceberg Classifier Using Deep Learning

Implementation of Improved Ship-Iceberg Classifier Using Deep Learning

The application of synthetic aperture radar (SAR) for ship and iceberg monitoring is important to carry out marine activities safely. The task of differentiating the two target classes, i.e. ship and iceberg, presents a challenge for operational scenarios. The dataset comprising SAR images of ship a...

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Bibliographic Details
Main Authors: Rane Ankita, Sangili Vadivel
Format: Article
Language:English
Published: De Gruyter 2019-07-01
Series:Journal of Intelligent Systems
Subjects:
binary classification
deep learning
neural networks
pseudolabeling
semisupervised learning
68t45
Online Access:https://doi.org/10.1515/jisys-2018-0271

Internet

https://doi.org/10.1515/jisys-2018-0271

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