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国土资源遥感  2017, Vol. 29 Issue (4): 6-7    DOI: 10.6046/gtzyyg.2017.04.02
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遥感图像云检测方法研究进展
刘紫涵, 吴艳兰
安徽大学资源与环境工程学院,合肥 230601
A review of cloud detection methods in remote sensing images
LIU Zihan, WU Yanlan
School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
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摘要 

云层遮挡是影响遥感图像质量的主要因素,对受云层遮挡的遥感图像进行云检测是遥感数据修复过程中需解决的首要问题。在参考国内外大量文献的基础上,分析了云检测方法的研究现状,对现有的检测方法进行分类和综述,并重点介绍几种常用卫星数据的云检测方法,通过对不同云检测方法的比较,总结了现有云检测方法存在的问题以及发展趋势。

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Abstract

Cloud cover is the main factor affecting the quality of remote sensing image. Cloud detection for remote sensing images is one of the principal problems that must be solved in remote sensing data restoration processing. On the basis of extensive investigation of existing articles, the research status of cloud detection is analyzed, and then a classification and comprehensive overview of cloud detection methods is presented, the cloud detection methods for several kinds of commonly used satellite data are also given. By comparing the cloud detection methods, the existing problems and development trend of cloud detection method are discussed.

Key wordswetland    remote sensing monitor    dynamics    human factor    Manas River basin
收稿日期: 2016-07-21      出版日期: 2017-12-04
:  TP751.1  
基金资助:

安徽省自然科学基金面上项目“面向海洋划界的海岸线曲折度与长度量算研究”(编号: 1308085MD52)和安徽大学研究生学术创新研究强化项目“风云静止卫星地表温度产品空值数据稳健修复”(编号: yqh100254)共同资助

作者简介: 刘紫涵 (1990-),男,硕士研究生,主要从事遥感图像处理方面的研究。Email: rs312lzh@yeah.net。
引用本文:   
刘紫涵, 吴艳兰. 遥感图像云检测方法研究进展[J]. 国土资源遥感, 2017, 29(4): 6-7.
LIU Zihan, WU Yanlan. A review of cloud detection methods in remote sensing images. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 6-7.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2017.04.02      或      https://www.gtzyyg.com/CN/Y2017/V29/I4/6

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