SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets]-Reference-Cited by-同舟云学术

SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets]

Author:

Wang Yi¹^ORCID,Braham Nassim Ait Ali¹,Xiong Zhitong¹^ORCID,Liu Chenying¹^ORCID,Albrecht Conrad M.²,Zhu Xiao Xiang¹^ORCID

Affiliation:

1. Data Science in Earth Observation, Technical University of Munich, Munich, Germany

2. Remote Sensing Technology Institute, German Aerospace Center, Weßling, Germany

Funder

Helmholtz Association

Helmholtz Excellent Professorship

German Federal Ministry of Education and Research

German Federal Ministry for Economic Affairs and Climate Action

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Instrumentation,General Computer Science

Link

Reference26 articles.

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