测绘科学技术学报2011，Vol.28Issue(4)：288-291,4.DOI:10.3969/j.issn.1673-6338.2011.04.013
一种采用稀疏促进的高光谱影像端元提取方法
An Endmember Extraction Method for Hyperspectral Imagery Based on Sparsity Promoting
余岸竹 1陈伟 1张驰 1冯伍法1
作者信息
- 1. 信息工程大学测绘学院,河南郑州 450052
- 折叠
摘要
Abstract
An endmember extraction method for hyperspectral imagery was proposed, which was based on the theories of sparsity-promoting, traditional endmember extraction algorithms and the linear spectral mixture model. This method doesn't need a prior estimation for the quantity of endmembers or the existance of pure pixels in hyperspectral images. Some experiments were carried out with simulative and real hyperspectral images, and the results among the sparsity-promoting based method, ICE and NMF were compared and analyzed. The result showed that the sparsity-promoting based method could extract the endmembers and find their quantity steadily, and this method was more accurate than ICE and NMF.关键词
高光谱影像/稀疏促进/线性混合模型/端元提取/混合像元分解Key words
hyperspectral imagery/ sparsity promoting/ linear mixture model/ endmember extraction/ decomposition of mixed pixels分类
天文与地球科学引用本文复制引用
余岸竹,陈伟,张驰,冯伍法..一种采用稀疏促进的高光谱影像端元提取方法[J].测绘科学技术学报,2011,28(4):288-291,4.
