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Proceedings Paper

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

Paper Details

Date Published: 16 September 2011
PDF: 8 pages
Proc. SPIE 8157, Satellite Data Compression, Communications, and Processing VII, 81570B (16 September 2011); doi: 10.1117/12.894681
Show Author Affiliations
Wei Xiong, Univ. of Maryland, Baltimore County (United States)
Chao-Cheng Wu, National Taipei Univ. of Technology (Taiwan)
Chein-I Chang, Univ. of Maryland, Baltimore County (United States)
National Chung Hsing Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8157:
Satellite Data Compression, Communications, and Processing VII
Bormin Huang; Antonio J. Plaza; Carole Thiebaut, Editor(s)

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