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| NOAA卫星图像云点检测的三维统计图集合判别 | |
| 引用本文： | 杨俊泉,沈建中,莫伟华,张远飞,陈尚文,林少雄.NOAA卫星图像云点检测的三维统计图集合判别[J].国土资源遥感,1997,8(4):54-55. |
| 作者姓名： | 杨俊泉 沈建中 莫伟华 张远飞 陈尚文 林少雄 |
| 作者单位： | 广西大学林学院，广西气象台，中国有色总公司矿产地质研究院，广西大学林学院，广西气象局 |
| 摘 要： | 在应用NOAA-AVHRR图像对地球资源环境进行监测的研究中,云点检测是一项基本工作。本文以实例分析云的图像特征,选取特征指标建立像元分布三维统计图,直接在统计图上观察云点集群分布阈值,并以此作为云点集合判别的条件,以实现自动检测。此法灵敏度高,稳定性好,且直观方便。 |
| 关 键 词： | NOAA－AVHRR图像 云检测 三维统计图 集合判别 |
| 收稿时间： | 1997-08-05 |
| 修稿时间： | 1997-09-25 |
A METHOD FOR DETECTING CLOUD PIXELS ON NOAA-AVHRR IMAGE USING THREE-DIMENSION STATISTIC GRAPH AND SET DISCRIMINATION |
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| Yang Junquan,Shen Jianzhong \ Chen Shangwen.A METHOD FOR DETECTING CLOUD PIXELS ON NOAA-AVHRR IMAGE USING THREE-DIMENSION STATISTIC GRAPH AND SET DISCRIMINATION[J].Remote Sensing for Land & Resources,1997,8(4):54-55. | |
| Authors: | Yang Junquan Shen Jianzhong \ Chen Shangwen |
| Institution: | 1. Forestry College, Guangxi University, Nanning 530001; 2. Guangxi Meteorological Observatory, Nanning 530022; 3. Research Institute of Geology for Mineral Resources, Guilin 541004; 4. Guangxi Meteorological Bureau, Nanning 530021 |
| Abstract: | The detection of cloud pixels is the essential for monitoring resources and environment of the earth using NOAA-AVHRR image. The paper analyses the feature of the clouds on NOAA-AVHRR data by instances, draws 3D-statistic graph according to the feature indexes, and decides the thresholds of cloud pixels directly from the graph. The thresholds are regarded as the setting condition for detecting the cloud pixels automatically. The advantages of above method are higher sensitivity and better stability and that the viewing for the distribution of cloud pixels is more directly. |
| Keywords: | Image of NOAA-AVHRR Detection of cloud pixels 3D-statistic graph Discrimination on the set theory |
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