Shadow detection and removal for remote sensing images via multi-feature adaptive optimization and geometry-aware illumination compensation
发布时间：2025-07-05
点击次数：
- DOI码：
- 10.1016/j.eswa.2025.127769
- 所属单位：
- Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
- 发表刊物：
- EXPERT SYSTEMS WITH APPLICATIONS
- 项目来源：
- This work is supported by the National Science and Technology Major Project of China (2024ZD1002006)
- 关键字：
- Shadow detection and removal,Multi-feature adaptive optimization,Geometry-aware,Illumination compensation
- 摘要：
- Shadows in remote sensing images degrade quality and obscure ground details, posing challenges in their accurate detection and removal. The biggest challenge in shadow removal is accurately detecting the shadow while restoring normal illumination. Therefore, this paper proposes a novel approach combining multi-feature adaptive optimization and geometry-aware illumination compensation for shadow detection and removal. The method introduces a novel multi-feature adaptive optimization algorithm, which simulates dynamic interaction behavior of snakes to obtain optimal shadow thresholds from multi-
- 合写作者：
- Cao, Rui,Sheng, Hongting,Wu, Liang
- 第一作者：
- Zhang, Zhizheng
- 论文类型：
- 期刊论文
- 通讯作者：
- Shao, Zhenfeng,Guo, Mingqiang
- 文献类型：
- Article
- 卷号：
- 282
- ISSN号：
- 0957-4174
- 是否译文：
- 否
- 发表时间：
- 2025-07-05