ENDMEMBER CONSTRAINED SEMI-SUPERVISED HYPERSPECTRAL UNMIXING

被引：0
|
作者：
Sigurdsson, Jakob [1 ]
Ulfarsson, Magnus O. [1 ]
Sveinsson, Johannes R. [1 ]
机构：
[1] Univ Iceland, Dept Elect Engn, Reykjavik, Iceland
来源：
2014 6TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2014年
关键词：
Hyperspectral unmixing; semi-supervised unmixing; regression;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper an endmember constrained semi-supervised hyperspectral unmixing method is proposed. The linear model is used to represent the hyperspectral data. A priori information about the endmembers is incorporated into the objective function with soft regularization. This information can be acquired from a spectral library or from the data itself. Quantitative evaluation of the method is done using simulated data and it is shown the soft regularization can yield better results than hard regularization. The method is also applied on a real hyperspectral data set and the estimated abundance maps improve when a priori information is used to aid the unmixing.
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页数：4
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