A new eddy detection method with object segmentation strategies for satellite altimetry

Dong, Di, Brandt, Peter, Schütte, Florian, Yang, Xiaofeng and Li, Ziwei (2016) A new eddy detection method with object segmentation strategies for satellite altimetry [Paper] In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10.-15.07.2016, Beijing, China.

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Abstract

This paper introduces a new eddy detection method based on object segmentation strategies. It incorporates the advantages of the Okubo-Weiss (OW) method, and improves the algorithm robustness by using three different segmentation methods. First, by intersecting the OW mask with the positive and negative SLA masks, two separate initial eddy candidate segment masks for anticyclonic and cyclonic eddies are produced. Then the number of extrema
inside the individual segments is calculated. If the number is two/greater than two, a histogram threshold/watershed method is applied to further divide the segments into subsegments.
If the number is one, the segment is tested by
predefined eddy criteria. If the criteria are not fulfilled, the eddy boundary is repeatedly shrunk by one pixel inward until the segment meets all the criteria. In this case it is saved as an eddy. A segment is discarded if the number of extrema is zero. The eddy detection results of this method, of the OW method and of a geometric eddy detection method are displayed and analyzed statistically. The seasonal cycle of eddy number from the three eddy detection methods is discussed in comparison to the EKE.

Document Type: Conference or Workshop Item (Paper)
Keywords: Mesoscale eddy; automatic detection; object segmentation; Okubo-Weiss
Research affiliation: OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-PO Physical Oceanography
OceanRep > The Future Ocean - Cluster of Excellence
Refereed: No
DOI etc.: 10.1109/IGARSS.2016.7730522
Date Deposited: 16 Jan 2017 09:27
Last Modified: 22 May 2017 12:23
URI: http://eprints.uni-kiel.de/id/eprint/35671

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