Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection

Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection

Undersea/subsea data collection via automated underwater vehicles (AUVs) plays an important role for marine biodiversity research, while it is often much more challenging than the data collection above ground via satellites or AUVs. To enable the automated undersea/subsea data collection system, the...

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Bibliographic Details
Main Authors: Ranjith Dinakaran, Li Zhang, Chang-Tsun Li, Ahmed Bouridane, Richard Jiang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
automated underwater vehicles
biodiversity
object detection
deep neural networks
particle swarm optimization
Online Access:https://www.mdpi.com/2072-4292/14/15/3680

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https://www.mdpi.com/2072-4292/14/15/3680

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