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Field programmable gate array design of implementing simplex growing algorithm for hyperspectral endmember extraction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

N-FINDR has been widely used for endmember extraction in hyperspectral imagery. Due to its high computational complexity developing fast computing N-FINDR has become interest. One approach is to design field programmable gate array (FPGA) architecture for N-FINDR to reduce computing time. However, two major issues still need to be addressed. One is that the number of endmembers must be fixed regardless of applications. The other is computation of simplex volumes. This paper investigates a progressive version of N-FINDR, previously known as simplex growing algorithm (SGA) for its FPGA implementation which basically resolves these two issues.

Original languageEnglish
Title of host publicationSatellite Data Compression, Communications, and Processing VII
DOIs
StatePublished - 2011
EventSatellite Data Compression, Communications, and Processing VII - San Diego, CA, United States
Duration: 23 Aug 201124 Aug 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8157
ISSN (Print)0277-786X

Conference

ConferenceSatellite Data Compression, Communications, and Processing VII
Country/TerritoryUnited States
CitySan Diego, CA
Period23/08/1124/08/11

Keywords

  • Endmember extraction algorithm (EEA)
  • Fast matrix determinant computation
  • Field programmable gate array (FPGA)
  • N-FINDR
  • Simplex growing algorithm (SGA)
  • Virtual dimensionlaity (VD)

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