Oct 14, 2019 · Abstract: Automatic recognition of ocean eddies has become one of the hotspots in the field of physical oceanography.

A new eddy recognition method in SAR images with adaptive weighted multi-feature fusion with multiple kernel learning (MKL) is proposed, which avoids the ...

Oct 30, 2019 · Specially, to better characterize eddies, we first extract texture, shape and corner features using global Gray Level Co-occurrence Matrix (GLCM) ...

Du et al. (Du et al., 2019a) designed an adaptive weighted multi-feature fusion algorithm for automatic mesoscale ocean eddies recognition. The recognition ...

Ocean Eddy Recognition in SAR Images With Adaptive Weighted Feature Fusion. IEEE Access. 2019 | Journal article. DOI: 10.1109/ACCESS.2019.2946852.

Dec 15, 2022 · The context and edge association network (CEA-Net) is proposed to identify submesoscale oceanic eddies with high spatial resolution Sentinel-1 data.

Sep 28, 2023 · This paper presents a deep framework EddyDet to automatically detect oceanic eddies in Synthetic Aperture Radar (SAR) images.

Yanling Du , Jiajia Liu , Wei Song , Qi He, Dongmei Huang: Ocean Eddy Recognition in SAR Images With Adaptive Weighted Feature Fusion.

Oceanic eddies have a non-negligible impact on ocean energy transfer, nutrient distribution, and biological migration in global oceans.

A method for an automated detection of eddy manifestations visualized by surfactant films presenting on the water surface based on sequential application of ...