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算法混合像元分解,最后统计与比较各种分解方法。实验结果表明:在该区沙漏算法提取的端元精度较高,基于全约束性最小二乘法解混结果符合实际情况。 更多还原
【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 b... 更多还原