CLSR: Contrastive Learning for Semi-Supervised Remote Sensing Image Super-Resolution

Divya Mishra; Ofer Hadar

doi:10.1109/lgrs.2023.3294595

ScienceGate Book Chapters

JOURNAL ARTICLE

CLSR: Contrastive Learning for Semi-Supervised Remote Sensing Image Super-Resolution

Divya Mishra Ofer Hadar

Year: 2023 Journal: IEEE Geoscience and Remote Sensing Letters Vol: 20 Pages: 1-5 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lgrs.2023.3294595

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Remote sensing Image resolution Artificial intelligence Resolution (logic) Computer vision Pattern recognition (psychology) Geology

Metrics

Cited By

3.82

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

CLSR: Contrastive Learning for Semi-Supervised Remote Sensing Image Super-Resolution

Metrics

Citation History

Topics

Related Documents

SemiBaCon: Semi-Supervised Balanced Contrastive Learning for Multimodal Remote Sensing Image Classification

Semi-supervised Remote Sensing Image Classification for Edge Computing via Contrastive Learning

Single infrared remote sensing image super-resolution via supervised deep learning

A contrastive learning-based iterative network for remote sensing image super-resolution

Semi-supervised Deep Metric GCN Based on Contrastive Learning for Remote Sensing Image Characterization