Field-Programmable Gate Array Design of Implementing Simplex Growing Algorithm for Hyperspectral Endmember Extraction

被引：12

作者：

Chang, Chein-I ^{[1
,2
]}

Xiong, Wei ^{[1
]}

Wu, Chao-Cheng ^{[3
]}

机构：

[1] Univ Maryland Baltimore Cty, Dept Comp Sci & Elect Engn, Remote Sensing Signal & Image Proc Lab, Baltimore, MD 21250 USA

[2] Providence Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan

[3] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2013年 / 51卷 / 03期

关键词：

Endmember extraction algorithm (EEA); fast matrix determinant computation; field-programmable gate array (FPGA); N-finder algorithm (N-FINDR); real-time fast simplex growing algorithm (SGA) (FSGA) (RT-FSGA); SGA; virtual dimensionality (VD); N-FINDR ALGORITHM; FPGA;

D O I：

10.1109/TGRS.2012.2207389

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

N-finder algorithm (N-FINDR) has been widely used for endmember extraction in hyperspectral imagery. Due to its high computational complexity, developing fast computing N-FINDR has received considerable interest, specifically to take advantage of field-programmable gate array (FPGA) architecture in hardware implementation to realize N-FINDR. However, there are two severe drawbacks arising in the nature of N-FINDR design, the number of endmembers, p, which must be fixed once its value is determined in FPGA design and inconsistency in final extracted endmembers caused by different selections of initial endmembers. This paper investigates a progressive version of N-FINDR, previously known as simplex growing algorithm for its FPGA implementation which can resolve these two issues.

引用

页码：1693 / 1700

页数：8

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