Self-Supervised Learning in Remote Sensing: A review-Reference-Cited by-同舟云学术

Self-Supervised Learning in Remote Sensing: A review

Author:

Wang Yi¹^ORCID,Albrecht Conrad M.²,Braham Nassim Ait Ali¹,Mou Lichao³^ORCID,Zhu Xiao Xiang⁴^ORCID

Affiliation:

1. German Aerospace Center, Wessling, Germany

2. Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany

3. Munich AI Future Lab AI4EO, TUM, Munich, Germany

4. Department “EO Data Science”, Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany

Funder

European Research Council

Helmholtz Association

Helmholtz Klimainitiative (HICAM) and 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

Reference252 articles.

1. Auto-encoding variational bayes;kingma,2013

3. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion;vincent;J Mach Learn Res,2010

5. Generative adversarial nets;goodfellow;Proc Adv Neural Inform Process Syst,0

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