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基于多光谱分析的HJ-1B数据云检测算法
引用本文:韩杰,杨磊库,谢玉娟,梁洪有. 基于多光谱分析的HJ-1B数据云检测算法[J]. 测绘科学, 2013, 38(1): 150-152
作者姓名:韩杰  杨磊库  谢玉娟  梁洪有
作者单位:河南理工大学/矿山空间信息技术国家测绘局重点实验室,河南焦作,454000
基金项目:矿山空间信息技术国家测绘局重点实验室(河南理工大学)开放基金资助项目(KLM201112);江苏省资源环境信息工程重点实验室(中国矿业大学)开放基金资助项目(JS200907)
摘    要:云检测是遥感数据预处理中的一个重要环节。本文通过分析云及典型地物光谱特性,结合HJ-1B传感器波段设置,提出了一种基于多光谱分析的云检测算法。该方法针对不同下垫面类型,选取合适的波段组合逐一建立云掩模。利用该算法对多幅影像进行去云处理,结果表明,该方法能够很好地检测出不同时期不同背景上空的云像元。

关 键 词:多光谱分析  云检测  HJ-1B

Cloud detection on HJ-1B data based on multispectral analysis
HAN Jie,YANG Lei-ku,XIE Yu-juan,LIANG Hong-you. Cloud detection on HJ-1B data based on multispectral analysis[J]. Science of Surveying and Mapping, 2013, 38(1): 150-152
Authors:HAN Jie  YANG Lei-ku  XIE Yu-juan  LIANG Hong-you
Affiliation:(Key Laboratory of Mine Spatial Information of State Bureau of Surveying and Mapping,Henan Polytechnic University,Henan Jiaozuo 454000,China)
Abstract:Cloud detection is absolutely necessary in the processing of satellite remote sensing data.Through analyzing spectral characteristics of cloud and typical objectives and integrating the channel characteristics of HJ-1B,a cloud detection algorithm for HJ-1B was proposed based on multispectral analysis in the paper.Taking it into account the different types of underlying surface,it gradually built a cloud detection mask by choosing suitable band combination.This method was applied to remove cloud pixels from many different images.The results showed that this approach could detect cloud pixels over different periods and different scenes successfully,which would promote the use of HJ-1B data and improve the precision of image classification.
Keywords:multispectral analysis  cloud detection  HJ-1B
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