An Efficient Ship Detection Method Based on YOLO and Ship Wakes Using High-Resolution Optical Jilin1 Satellite Imagery

An Efficient Ship Detection Method Based on YOLO and Ship Wakes Using High-Resolution Optical Jilin1 Satellite Imagery

In this study, we propose a practical and efficient scheme for ship detection in remote sensing imagery. Our method is developed using both ship body detection and ship wake detection and combines deep learning and feature-based image processing. A deep convolutional neural network is used to achiev...

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Bibliographic Details
Main Authors: Fangli Mou, Zide Fan, Yunping Ge, Lei Wang, Xinming Li
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
maritime surveillance
vessel detection and tracking
wake detection
marine engineering
remote sensing processing
Online Access:https://www.mdpi.com/1424-8220/24/20/6708

Internet

https://www.mdpi.com/1424-8220/24/20/6708

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