Work

SCL-MLNet: Boosting Few-Shot Remote Sensing Scene Classification via Self-Supervised Contrastive Learning

Year: 2021

Type: article

Source: IEEE Transactions on Geoscience and Remote Sensing

DOI: 10.1109/tgrs.2021.3109268

Authors: Xiaomin Li, Daqian Shi, Xiaolei Diao, Hao Xu

Institutions: Jilin University, University of Trento

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: Jilin Province Development and Reform Commission, National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Education Department of Jilin Province, Department of Science and Technology of Jilin Province, H2020 Future and Emerging Technologies

Awards: G4064851987, G5026428790, G5035052298, WeNet - The Internet of US, G7441284317, G8082373668

OpenAlex ID: W3199708111

FWCI: 9.097

Cites: 49

Cited by: 107

Related to: 10