1. Remote Sensing for Maritime Monitoring and Vessel Identification.
- Author
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Salerno, Emanuele, Di Paola, Claudio, and Lo Duca, Angelica
- Subjects
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DEEP learning , *REMOTE sensing , *CONVOLUTIONAL neural networks , *SURVEILLANCE radar , *SYNTHETIC aperture radar , *INFORMATION technology , *PATTERN recognition systems - Abstract
This document explores the significance of remote sensing in monitoring maritime activities and identifying vessels. It emphasizes the need for surveillance to ensure safety, security, and emergency management, given the increasing number of vessels worldwide. The document highlights the use of technologies like the Automatic Identification System (AIS) and remote sensing in situations where collaborative systems are not reliable. It also discusses the integration of data from different sensors and the application of data science techniques for a comprehensive assessment of maritime traffic. The document concludes by summarizing research papers on ship detection, tracking, and classification using various sensors and data processing techniques. [Extracted from the article]
- Published
- 2024
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