Deep Learning-Based Maritime Environment Segmentation for Unmanned Surface Vehicles Using Superpixel Algorithms

Deep Learning-Based Maritime Environment Segmentation for Unmanned Surface Vehicles Using Superpixel Algorithms

Unmanned surface vehicles (USVs) are receiving increasing attention in recent years from both academia and industry. To make a high-level autonomy for USVs, the environment situational awareness is a key capability. However, due to the richness of the features in marine environments, as well as the...

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Bibliographic Details
Main Authors: Haolin Xue, Xiang Chen, Ruo Zhang, Peng Wu, Xudong Li, Yuanchang Liu
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Marine Science and Engineering
Subjects:
unmanned surface vehicles
image segmentation
deep convolutional neural network
superpixel algorithm
maritime image data
Online Access:https://www.mdpi.com/2077-1312/9/12/1329

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