标题: PGCS: Physical Law Embedded Generative Cloud Synthesis in Remote Sensing Images

作者: Xu, LY (Xu, Liying); Li, HF (Li, Huifang); Shen, HF (Shen, Huanfeng); Lei, MY (Lei, Mingyang); Jiang, T (Jiang, Tao)

来源出版物: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  卷: 63  文献号: 5616617  DOI: 10.1109/TGRS.2025.3553239  Published Date: 2025  

摘要: Data quantity and quality are both critical for information extraction and analyzation in remote sensing. The current remote sensing datasets, however, often fail to meet these two requirements, for which the cloud is a primary factor degrading the data quantity and quality. This limitation affects the precision of results in remote sensing applications, particularly those derived from data-driven techniques. In this article, a physical law embedded generative cloud synthesis (PGCS) method is proposed to generate diverse,ealistic cloud images to enhance real data and promote the development of algorithms for subsequent tasks, such as cloud correction, cloud detection, and data augmentation for classification, recognition, and segmentation. The PGCS method involves two key phases: spatial synthesis and spectral synthesis. In the spatial synthesis phase, a style-based generative adversarial network is used to simulate the spatial characteristics, generating an infinite number of single-channel clouds. In the spectral synthesis phase, the atmospheric scattering law is embedded through a local statistics and global fitting method, converting the single-channel clouds into multispectral clouds. The experimental results demonstrate that PGCS achieves a high accuracy in both phases and performs better than three other existing cloud synthesis methods. Two cloud correction methods are developed from PGCS and exhibits a superior performance compared to state-of-the-art methods in the cloud correction task. The application of PGCS with data from various sensors was, furthermore, investigated and successfully extended. Code will be provided at https://github.com/Liying-Xu/PGCS.

作者关键词: Atmospheric scattering law; cloud correction; cloud synthesis; cloud synthesis; data-driven method; data-driven method; remote sensing; remote sensing; remote sensing

KeyWords Plus: REMOVAL

地址: [Xu, Liying; Li, Huifang; Shen, Huanfeng; Lei, Mingyang; Jiang, Tao] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Shen, Huanfeng] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

通讯作者地址: Li, HF (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: liyingxuwhu@whu.edu.cn; huifangli@whu.edu.cn; shenhf@whu.edu.cn; leimingyang@whu.edu.cn; jiangta0@whu.edu.cn

影响因子：7.5