Multi-Source Remote Sensing Pretraining Based on Contrastive Self-Supervised Learning

Multi-Source Remote Sensing Pretraining Based on Contrastive Self-Supervised Learning

SAR-optical images from different sensors can provide consistent information for scene classification. However, the utilization of unlabeled SAR-optical images in deep learning-based remote sensing image interpretation remains an open issue. In recent years, contrastive self-supervised learning (CSS...

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Bibliographic Details
Main Authors: Chenfang Liu, Hao Sun, Yanjie Xu, Gangyao Kuang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
multi-source
contrastive self-supervised learning
pretraining
SAR-optical
Online Access:https://www.mdpi.com/2072-4292/14/18/4632

Internet

https://www.mdpi.com/2072-4292/14/18/4632

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