EddyDet: A Deep Framework for Oceanic Eddy Detection in Synthetic Aperture Radar Images

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...

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Bibliographic Details
Main Authors: Di Zhang, Martin Gade, Wensheng Wang, Haoran Zhou
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/19/4752