EddyDet: A Deep Framework for Oceanic Eddy Detection in Synthetic Aperture Radar Images
Di Zhang,
Martin Gade,
Wensheng Wang
et al.
Abstract:This paper presents a deep framework EddyDet to automatically detect oceanic eddies in Synthetic Aperture Radar (SAR) images. The EddyDet has been developed using the Mask Region with Convolutional Neural Networks (Mask RCNN) framework, incorporating two new branches: Edge Head and Mask Intersection over Union (IoU) Head. The Edge Head can learn internal texture information implicitly, and the Mask IoU Head improves the quality of predicted masks. A SAR dataset for Oceanic Eddy Detection (SOED) is specifically… Show more
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