Two-Stage Domain Adaptation Based on Image and Feature Levels for Cloud Detection in Cross-Spatiotemporal Domain-Reference-Cited by-同舟云学术

Two-Stage Domain Adaptation Based on Image and Feature Levels for Cloud Detection in Cross-Spatiotemporal Domain

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Gao Xianjun¹^ORCID,Zhang Guangbin²,Yang Yuanwei¹^ORCID,Kuang Jin¹^ORCID,Han Kuikui¹,Jiang Minghan¹,Yang Jinhui¹,Tan Meilin³,Liu Bo⁴^ORCID

Affiliation:

1. School of Geosciences, Yangtze University, Wuhan, China

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

3. Region Surveying and Mapping Geographic Information Center, Hohhot, China

4. Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake, Ministry of Natural Resources, East China University of Technology, Nanchang, China

Funder

Open Fund of National Engineering Laboratory for Digital Construction and Evaluation Technology of Urban Rail Transit

Open Fund of Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake, Ministry of Natural Resources

Open Fund of Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10439235.pdf?arnumber=10439235

Reference76 articles.

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

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

5. Cloud and cloud shadow detection using multilevel feature fused segmentation network

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