Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"ARU$^{2}$-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy ..."

Junmin Geng et al. (2024)

> Home

Details and statistics

DOI: 10.1109/JSTARS.2024.3419175

access: open

type: Journal Article

metadata version: 2024-08-02

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/staeors/GengGHRC24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/staeors/GengGHRC24
Junmin Geng, He Gao, Baoxiang Huang, Milena Radenkovic, Ge Chen:
ARU$^{2}$-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11997-12007 (2024)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.