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

Wei Xiong; Chao-Cheng Wu; Chein-I Chang

doi:10.1117/12.894681

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16 September 2011 Field programmable gate array design of implementing simplex growing algorithm for hyperspectral endmember extraction

Wei Xiong, Chao-Cheng Wu, Chein-I Chang

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Proceedings Volume 8157, Satellite Data Compression, Communications, and Processing VII; 81570B (2011) https://doi.org/10.1117/12.894681
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

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Wei Xiong, Chao-Cheng Wu, and Chein-I Chang "Field programmable gate array design of implementing simplex growing algorithm for hyperspectral endmember extraction", Proc. SPIE 8157, Satellite Data Compression, Communications, and Processing VII, 81570B (16 September 2011); https://doi.org/10.1117/12.894681

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