期刊论文

Liu, Jianqiang(jqliu@mail.nsoas.org.cn)

中文

遥感学报

1007-4619

2023

27

1

55-67

10.11834/jrs.20221535

Supported by National Natural Science Foundation of China (No. 41801227) and Natural Science Foundation of Hunan Province, China (No. 2019JJ50047).

本校为其他机构

搭载在中国首颗海洋水色业务卫星HY-1C上的海岸带成像仪CZI （Coast Zone Imager）于2019年6月开始业务化运行,其获取的大量海岸带、陆地和海洋数据对于海洋灾害与环境监测研究具有重要意义。CZI对地观测受云干扰,影响数据的后续应用。现有的云检测算法大都基于RGB图像或者包含热红外的多光谱展开,对于HY-1C CZI这类RGB-近红外4个波段遥感图像研究较少。为此,本文提出了一种针对HY-1C CZI遥感图像的非监督遥感图像云检测方法。该方法包含训练样本选择、特征提取、支持向量机SVM （Support Vector Machine）分类和后处理这4个过程。在训练样本选择中,结合暗通道反射率、归一化植被指数和白度指数...

Objective The Coast Zone Imager (CZI) onboard the Chinese first marine aqua-color satellite HY-1C started operational operations in June 2019. The large amount of coastal, land, and ocean data it obtained is of great significance for marine disaster and environmental monitoring research. CZI data can be affected by cloud, causing subsequent influences on its applications. How to efficiently identify cloud in remote sensing images is extremely important for the application of CZI images. Most of the existing cloud detection algorithms are based ...