Construction of fast and robust N-FINDR algorithm

被引：0
|
作者：
Wang, Liguo [1 ]
Jia, Xiuping
Zhang, Ye
机构：
[1] Harbin Engn Univ, Sch Informat & Commun Engn, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Dept Informat Engn, Harbin 150001, Peoples R China
[3] Univ New S Wales, Univ Coll, Sch Elect Engn, Australian Def Force Acad, Campbell, ACT 2600, Australia
来源：
INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION | 2006年 / 345卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
N-FINDR has been a popular algorithm of endmember (EM) extraction method for its fully automation and relative efficiency. Unfortunately, innumerable volume calculation leads to a low speed of the algorithm and so becomes a limitation to its applications. Additionally, the algorithm is vulnerable to outliers that widely exist in hyperspectral data. In this paper, distance measure is adopted in place of volume one to speed up the algorithm and outliers are effectively controlled to endow the algorithm with robustness. Experiments show the improved algorithm is very fast and robust.
引用
收藏
页码：791 / 796
页数：6
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