| 基于先验知识的独立分量分析技术在高光谱图像端元提取中的应用 |
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| 引用本文： | 刘宇,李钢,安宁.基于先验知识的独立分量分析技术在高光谱图像端元提取中的应用[J].安徽农业科学,2011,39(16):9993-9995. |
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| 作者姓名： | 刘宇 李钢 安宁 |
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| 作者单位： | 1. 江苏省资源环境信息工程重点实验室(中国矿业大学),江苏,徐州,221008;中国矿业大学环境与测绘学院,江苏,徐州,221008
2. 徐州市国土资源局,江苏,徐州,221006 |
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| 摘 要： | 以先验知识为基础,应用约束的独立分量分析技术（CICA）从高光谱遥感图像中提取所需要的端元。结果表明,应用先验知识的独立分量分析技术可以有效地提取高光谱遥感图像的端元,可为进一步的应用提供依据。
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| 关 键 词： | 高光谱遥感 混合像元 端元提取 独立分量分析 先验知识 |
Application of ICA Based on Priori-knowledge in Extracting Endmember from Hyperspectral Image |
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| LIU Yu et al.Application of ICA Based on Priori-knowledge in Extracting Endmember from Hyperspectral Image[J].Journal of Anhui Agricultural Sciences,2011,39(16):9993-9995. |
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| Authors: | LIU Yu |
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| Institution: | LIU Yu et al(Jiangsu key Laboratory of Resource Environment and Information Engineering,CUMT,Xuzhou,Jiangsu 221116) |
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| Abstract: | Based on priori-knowledge,CICA was used to extract the required endmember from hyperspectral remote sensing images.The results showed that the priori-knowledge of ICA can effectively extract endmember from hyperspectral remote sensing images and provide the basis for further application. |
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| Keywords: | Hyperspectral remote sensing Mixed pixel Endmember extraction ICA Priori-knowledge |
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