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15827188114Status:
EmployedSchool/Department:
测绘遥感信息工程全国重点实验室Date of Birth:
1976-03-21Alma Mater:
武汉大学Status:
EmployedSchool/Department:
测绘遥感信息工程全国重点实验室Date of Employment:
2004-07-01Administrative Position:
副主任Business Address:
武汉大学星湖实验大楼713Contact Information:
15827188114
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Paper Publications
Current position: Home > Scientific Research > Paper Publications
WodNet: Weak Object Discrimination Network for Cloud Detection
- Time:1905-07-16
- Hits:
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DOI number:
10.1109/tgrs.2024.3406542 -
Affiliation of Author(s):
Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China -
Journal:
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING -
Funded by:
No Statement Available -
Key Words:
Feature extraction,Transformers,Snow,Remote sensing,Continuous wavelet transforms,Adaptation models,Semantics,Cascade weak target refinement,cloud detection,weak targets -
Abstract:
To enhance the accuracy of remote sensing (RS) data analysis, cloud detection from the complex ground environment is crucial. We refer to clouds that are easily confused with similar background as weak targets clouds, including thin clouds, tiny clouds, cloud boundaries, clouds with snow's existence or highlighted background's existence. This article proposes a coarse-to-fine cloud detection network for weak target recognition. The network consists of two subnetworks: the scalable weak target feature extraction subnetwork (SWTFES) and the cascade weak target refinement subnetwork (CWTRS). SWTF -
Co-author:
Xiao,Huang, Haiyan, Xinrui,Xie -
Indexed by:
Journal paper -
Correspondence Author:
Zhenfeng,Shao -
Document Type:
Article -
Volume:
62 -
ISSN No.:
0196-2892 -
Translation or Not:
no -
Date of Publication:
1905-07-16