A novel approach to detect ships by wake has been proposed, based on Instance Segmentation deep learning architecture Mask R-CNN.
The results proved that Mask R-CNN is capable to detect the vast majority of ship wakes with high confidence percentage in different configurations, i.e. ...
The results proved that Mask R-CNN is capable to detect the vast majority of ship wakes with high confidence percentage in different configurations, ...
Nov 14, 2021 · A deep-learning approach is implemented to specifically detect ship wakes without any a-priori knowledge or cuing about the location of the vessel that ...
Missing: Multispectral | Show results with:Multispectral
The remote sensing methods for ship wake detection in SAR image is studied. The detection method for Kelvin ship wake is given by the research of SAR imaging of ...
First Results of Ship Wake Detection by Deep Learning Techniques in Multispectral Spaceborne Images. https://doi.org/10.1109/igarss46834.2022.9883511.
Nov 12, 2021 · The dataset, including more than 250 wake chips, is realized by visually inspecting Sentinel-1 images over highly trafficked maritime sites.
This review aims to provide the first thorough overview of ship wake detection solutions, highlighting the key ideas behind traditional applications.
Apr 1, 2024 · This paper introduces a deep neural network-based technique specifically tailored for detecting Kelvin wakes in large-scale, high-resolution optical images.
For the first time, a deep-learning approach is implemented to specifically detect ship wakes without any a-priori knowledge or cuing about the location of the ...
Missing: Techniques Multispectral