高分一号卫星影像自动云检测  

Automatic Cloud Detection of GF-1 Satellite Imagery

作　　者：钟静[1] 康一飞 韩昱 王欢 

机构地区：[1]广东省国土资源技术中心,广东广州510075 [2]苏州中科天启遥感科技有限公司,江苏苏州215004 [3]西安航天天绘数据技术有限公司,陕西西安710061 [4]四川省遥感信息测绘院,四川成都610100

出　　处：《地理空间信息》2018年第4期52-55,共4页Geospatial Information

摘　　要：针对高分一号卫星影像普遍含云且光谱探测范围窄、波段少、数据量大的特点,提出一种基于自适应阈值和形态学综合的云检测算法。选取一定数目的无云和含云样本影像,分别估算出最高和最低亮度阈值,以双阈值为限定条件改进最大类间方差算法,计算出精确亮度阈值,并定性筛选无云影像。通过云区形态学综合进一步改善云检测效果,得到影像云掩模和含云量。实验表明,该算法简单有效,能对少云、多云影像做出比较精确的检测,也能定性识别出无云影像,适用于全色、多光谱影像,可满足海量数据自动化处理的需要。An automatic cloud detection algorithm was specifically proposed for GF-1 satellite imagery. Firstly, the sample images were selected to calculate the highest threshold and the lowest threshold. And then, the final threshold was determined and the cloud-free images were identified. At last, for cloudy images, the cloud boundaries were adjusted by morphology operations. The experimental results confirmed the superiority of the proposed approach in both accuracy and applicability.

关 键 词：高分一号 云检测 灰度直方图 最大类间方差 形态学综合 

分 类 号：P237[天文地球—摄影测量与遥感]