YOLOv8-BYTE: Ship tracking algorithm using short-time sequence SAR images for disaster response leveraging GeoAI

YOLOv8-BYTE: Ship tracking algorithm using short-time sequence SAR images for disaster response leveraging GeoAI

Ship tracking technology is crucial for emergency rescue in the event of a disaster. Quickly identifying the position and status of vessels is vital for rescue teams to be able to deploy efficiently in disaster areas. When responding to emergencies or natural disasters, ship tracking technology play...

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Bibliographic Details
Main Authors: Muhammad Yasir, Liu Shanwei, Xu Mingming, Wan Jianhua, Sheng Hui, Shah Nazir, Xin Zhang, Arife Tugsan Isiacik Colak
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Multi-Object Tracking (MOT)
YOLOv8-BYTE
Tracking Ship
Kalman Filters (KF)
Synthetic Aperture Radar (SAR)
Disaster Response Leveraging GeoAI
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224001250

Internet

http://www.sciencedirect.com/science/article/pii/S1569843224001250

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