LGE-CR: Integrating Nonlocal Gated Attention and Two-Flow Residual Dense Learning for Cloud Removal-Reference-Cited by-同舟云学术

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LGE-CR: Integrating Nonlocal Gated Attention and Two-Flow Residual Dense Learning for Cloud Removal

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Li Mingchun¹^ORCID,Chen Congping¹^ORCID,Chen Ben¹,Dong Xin²^ORCID

Affiliation:

1. School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou, China

2. School of Innovation and Entrepreneurship, Changzhou University, Changzhou, China

Funder

Jiangsu Carbon Peak Carbon Neutrality Science and Technology Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10583955.pdf?arnumber=10583955

Reference19 articles.

1. Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2

2. Integrating Multitemporal Sentinel-1/2 Data for Coastal Land Cover Classification Using a Multibranch Convolutional Neural Network: A Case of the Yellow River Delta

3. Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges

4. Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites

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