Enhanced cloud removal via temporal U-Net and cloud cover evolution simulation
Abstract Remote sensing images are indispensable for continuous environmental monitoring and Earth observations. However, cloud occlusion can severely degrade image quality, posing a significant challenge for the accurate extraction of ground information. Existing cloud removal techniques often suff...
Saved in:
Main Authors: | Qingwei Tong, Leiguang Wang, Qinling Dai, Chen Zheng, Fangrong Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-87296-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ASSESSING THE EFFICACY OF CLOUD SERVICES FOR DEVELOPING EDUCATIONAL PRESENTATIONS
by: Tetiana V. Bondarenko, et al.
Published: (2023-12-01) -
Fine-grained vehicle recognition under low light conditions using EfficientNet and image enhancement on LiDAR point cloud data
by: Guanqiang Ruan, et al.
Published: (2025-02-01) -
A Review about Internet of Things (IoT) integration with Cloud Computing with a Limelight on Security
by: Umm e Kulsoom, et al.
Published: (2024-01-01) -
A Novel Cloud-Based Temperature Monitoring Service to Datacenter Environment
by: Mustafa Ibrahim Khaleel, et al.
Published: (2018-11-01) -
Librarians’ Awareness and Perception towards the Adoption of Cloud-Based Technologies in Public University Libraries in South-South Nigeria
by: Edwin, Achugbue I
Published: (2019)