高光谱遥感数据PPI端元提取方法的研究与实现

Research and Implementation of PPI End-element Extraction Method for Hyperspectral Remote Sensing Data

随着数字地球的提出,高光谱遥感技术在科学技术应用以及日常生活中发挥着不可替代的作用,利用高光谱遥感信息技术的特点,及时获取遥感影像,检测地物的地表分布特征,为地质找矿、地质灾害、环境检测、城市交通、大气研究等提供了可靠的资料。在本文中,以Hyperion图像为研究对象,研究了高光谱端元提取技术以及PPI提取端元算法的基本原理并用程序实现,获得了良好的实验效果。

With the proposed of digital earth, hyperspectral remote sensing technology and applications of science play a essential role in everyday life. Get the feature information timely access to hyperspectral remote sensing technology, processing and analysis image, to detect the distribution of surface features, providing reliable information for geological prospecting, geological disasters, environmental monitoring, urban transport, atmospheric research and so on. In this paper, Hyperion image as the object, studied hyperspectral image endmember extraction techniques, studies the basic principles of PPI endmember extraction algorithms and to achieve and got good experimental results.