Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Side-scan sonar images segmentation for AUV with recurrent residual convolutional neural network module and self-guidance module
Abstract This paper designed an end-to-end image segmentation method for side-scan sonar mounted on Autonomous Underwater Vehicle (AUV) to obtain accurate results. Accurate segmentation results depend on precise feature extraction, and an effective segmentation network can guarantee the autonomous recognition ability of Autonomous Underwater Vehicle (AUV) when performing tasks. In this paper, the RCNN module is used to obtain accurate sonar image features, which reduces errors and improves accuracy. Besides, the Self-guidance module was introduced to ensure the network’s stability and optimize the segmentation results. The experimental results show that the proposed method can achieve better segmentation results than UNet, SegNet and their derivative networks and has better generalization ability.
Side-scan sonar images segmentation for AUV with recurrent residual convolutional neural network module and self-guidance module
Abstract This paper designed an end-to-end image segmentation method for side-scan sonar mounted on Autonomous Underwater Vehicle (AUV) to obtain accurate results. Accurate segmentation results depend on precise feature extraction, and an effective segmentation network can guarantee the autonomous recognition ability of Autonomous Underwater Vehicle (AUV) when performing tasks. In this paper, the RCNN module is used to obtain accurate sonar image features, which reduces errors and improves accuracy. Besides, the Self-guidance module was introduced to ensure the network’s stability and optimize the segmentation results. The experimental results show that the proposed method can achieve better segmentation results than UNet, SegNet and their derivative networks and has better generalization ability.
Side-scan sonar images segmentation for AUV with recurrent residual convolutional neural network module and self-guidance module
Yu, Fei (Autor:in) / He, Bo (Autor:in) / Li, Kaige (Autor:in) / Yan, Tianhong (Autor:in) / Shen, Yue (Autor:in) / Wang, Qi (Autor:in) / Wu, Meihan (Autor:in)
Applied Ocean Research ; 113
25.02.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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