Residual Dual U-Shape Networks With Improved Skip Connections for Cloud Detection-Reference-Cited by-同舟云学术

Residual Dual U-Shape Networks With Improved Skip Connections for Cloud Detection

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 Ao¹,Li Xinghua²^ORCID,Ma Xiaoshuang³^ORCID

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. School of Remote Sensing and Information Engineering and the Hubei Luojia Laboratory, Wuhan University, Wuhan, China

3. School of Resources and Environmental Engineering and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China

Funder

National Nature Science Foundation of China

Open Fund of Hubei Luojia Laboratory

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10335738.pdf?arnumber=10335738

Reference18 articles.

1. Bishift Networks for Thick Cloud Removal with Multitemporal Remote Sensing Images

2. Characterization of the Landsat-7 ETM+ Automated Cloud-Cover Assessment (ACCA) Algorithm

3. Object-based cloud and cloud shadow detection in Landsat imagery

4. An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images

5. Cloud Detection in Satellite Images Based on Natural Scene Statistics and Gabor Features

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