一种陆地卫星影像厚云阴影检测方法  

Detection of thick clouds shadow from Landsat TM data

作　　者：卢鑫[1,2,3] 赵红莉[2] 杨树文[1,3] 冶运涛[2] 杨兴旺[1,3] 

机构地区：[1]兰州交通大学测绘与地理信息学院,兰州730070 [2]中国水利水电科学研究院,北京100038 [3]甘肃省地理国情监测工程实验室,兰州730070

出　　处：《测绘科学》2016年第5期87-90,共4页Science of Surveying and Mapping

基　　金：国家重大科技专项(08-Y30B07-9001-13/15);国家科技支撑计划项目(2013BAB05B01);中国博士后科学基金资助项目(2014M552558XB);中国水利水电科学研究院科研专项(514310)

摘　　要：针对现有的遥感影像厚云阴影监测方法存在过程复杂、精度不高等问题,该文提出一种TM影像厚云阴影检测方法:通过阈值分割提取影像中的所有阴影;对比一幅近时相的无云影像,分离出厚云的阴影,即云阴影为"有云"影像比"无云"影像多出的阴影;最后将提取结果与人机交互、云阴影增强模型法提取的结果进行对比分析。实验结果表明该方法提取精度较高,可以快速、准确地提取TM影像中的厚云阴影。Aiming at the problem that current thick clouds monitoring methods of RS imagery are complex and low-accurate,the paper presented a method based on TM imagery：all the shadow in the TM image was extracted with threshold segmentation;a cloud-free image of recent phase was compared with the cloud image to separate the shadow of clouds,thus clouds shadow was got as the part where the shadow is more;finally,the extracted result was comparatively analyzed with that of the human-computer interaction methods and clouds shadow enhancement model respectively.Result showed that the method could extract the thick clouds shadow from TM imagery efficiently with high accuracy.

关 键 词：云阴影 TM影像 阈值分割 云阴影增强模型 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]