摘要
为了提高光谱遥感图像数据的利用率,提出了一种基于光谱反射率特性的星载高光谱图像云检测方法。首先分析了各类地物在不同光谱下的反射率特征,根据其特点从星载高光谱图像中选取特定5个波长的图像数据,然后依照图像地物反射率及阈值判定法区分出高云区和中低云区,最后对二者合并,得到目标云区。试验结果表明,该方法的云检测率可达90%以上,虚警率在1%以内,可以准确区分云与雪地区域、沙漠区域以及植被区域,实现云检测。
To improve the effectiveness of remote-sensing image data, a cloud detection method based on the reflectivity of hyperspectral remote image is proposed. According to the characteristic of the reflectivity be- tween different earth background, image data of five specific wavelengths are chosen, then high-cloud area and low-cloud are determined by judging the threshold of different spectrum. The object cloud area can be obtained by combining the high-cloud and low-cloud areas. The experiment result indicates that the accuracy of cloud detection is more than 90%, while false alarm ratio is less than 1%, which proves that the cloud area can be accurately identified from muhiple types of earth background.
出处
《中国光学》
EI
CAS
CSCD
2015年第2期198-204,共7页
Chinese Optics
基金
国家自然科学基金资助项目(No.61072135)
关键词
高光谱
遥感图像
云检测
反射率
hyperspectral
remote sensing image
cloud-detection
reflectivity
