首页 | 本学科首页   官方微博 | 高级检索  
     检索      

高光谱影像混合像元分解比较研究
引用本文:刘涛,严海英,于曼竹.高光谱影像混合像元分解比较研究[J].地理空间信息,2011,9(3):3-5,8.
作者姓名:刘涛  严海英  于曼竹
作者单位:1. 新疆维吾尔自治区第二测绘院,新疆乌鲁木齐,830002
2. 武汉大学遥感信息工程学院,湖北武汉,430079
摘    要:遥感混合像元分解,作为一种遥感分类与制图的方法,具有其独特的优势.利用新疆阜康地区的Hyperion遥感影像,在ENVI/IDL软件运行环境下,分别采用沙漏算法,SMACC算法和体积法进行端元提取,并对3种方法进行了比较分析,从中选择符合实际的沙漏算法提取的端元,作为最终端元.在此基础上,分别运用最小二乘法、OSP算法...

关 键 词:混合像元  端元  混合像元分解

Comparative Study of Mixed Pixel Unmixing in Hyperspectral Image
LIU Tao,YAN Haiying,YU Manzhu.Comparative Study of Mixed Pixel Unmixing in Hyperspectral Image[J].Geospatial Information,2011,9(3):3-5,8.
Authors:LIU Tao  YAN Haiying  YU Manzhu
Abstract:Spectral unmixing of remote sensing imagery as a remote sensing classification and cartographic method has its unique advantages.In this paper,Hyperion remote sensing images of Fukang region was used,in ENVI/IDL software running environment,respectively,utilizing the hourglass algorithm method,SMACC algorithm and volume method for endmember extraction.A comparative analysis of these methods to choose the actual extraction of the end of the hourglass algorithm as the most terminal endmember had been carried out.On this basis,respectively using the fully constrained least square method and OSP algorithm for mixed-pixel decomposition,all unmixing methods had been counted and compared.The results showed that in the area,the endmember extracted from hourglass algorithms had higher accuracy,and the result of all constrained least squares was satisfied to the ground fact.
Keywords:mixed pixel  pixel unmixing  endmenber
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号