安徽农业科学2011，Vol.39Issue(16)：9993-9995,3.
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
Application of ICA Based on Priori-knowledge in Extracting Endmember from Hyperspectral Image
刘宇 1李钢 2安宁3
作者信息
- 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
- 2. 中国矿业大学环境与测绘学院,江苏,徐州,221008
- 3. 徐州市国土资源局,江苏,徐州,221006
- 折叠
摘要
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.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Key words
Hyperspectral remote sensing/ Mixed pixel/ Endmember extraction/ ICA/ Priori-knowledge分类
天文与地球科学引用本文复制引用
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):9993-9995,3.
