Unsupervised unmixing of hyperspectral imagery

被引：5
|
作者：
Masalmah, Yahya M. [1 ]
Velez-Reyes, Miguel [1 ]
机构：
[1] Univ Puerto Rico, Dept Elect & Comp Engn, Lab Appl Remote Sensing & Image Proc, POB 9042, Mayaguez, PR 00681 USA
来源：
IEEE MWSCAS'06: PROCEEDINGS OF THE 2006 49TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II | 2006年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/MWSCAS.2006.382281
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：
this paper presents an approach for simultaneous determination of endmembers and their abundances in hyperspectral imagery using a constrained positive matrix factorization. The algorithm presented here solves the constrained PMF using Gauss-Seidel method. This algorithm alternates between the endmembers matrix updating step and the abundance estimation step until convergence is achieved. Preliminary results using a subset of the Enrique Reef image data are presented. These results show the potential of the method to solve the unsupervised unmixing problem.
引用
收藏
页码：337 / +
页数：2
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