WodNet: Weak Object Discrimination Network for Cloud Detection
发布时间：1905-07-16
点击次数：
- DOI码：
- 10.1109/tgrs.2024.3406542
- 所属单位：
- Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
- 发表刊物：
- IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- 项目来源：
- No Statement Available
- 关键字：
- Feature extraction,Transformers,Snow,Remote sensing,Continuous wavelet transforms,Adaptation models,Semantics,Cascade weak target refinement,cloud detection,weak targets
- 摘要：
- 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
- 合写作者：
- Xie, Xinrui, Haiyan,Huang, Xiao
- 第一作者：
- Zhou, Xuechao
- 论文类型：
- 期刊论文
- 通讯作者：
- Shao, Zhenfeng
- 文献类型：
- Article
- 卷号：
- 62
- ISSN号：
- 0196-2892
- 是否译文：
- 否
- 发表时间：
- 1905-07-16