Sensors 2014, 14(1), 1-21; doi:10.3390/s140100001

Resolving Mixed Algal Species in Hyperspectral Images

1,* email, 1 and 2email
Received: 20 November 2013; in revised form: 4 December 2013 / Accepted: 17 December 2013 / Published: 19 December 2013
(This article belongs to the Special Issue Spectral Imaging at the Microscale and Beyond)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: We investigated a lab-based hyperspectral imaging system’s response from pure (single) and mixed (two) algal cultures containing known algae types and volumetric combinations to characterize the system’s performance. The spectral response to volumetric changes in single and combinations of algal mixtures with known ratios were tested. Constrained linear spectral unmixing was applied to extract the algal content of the mixtures based on abundances that produced the lowest root mean square error. Percent prediction error was computed as the difference between actual percent volumetric content and abundances at minimum RMS error. Best prediction errors were computed as 0.4%, 0.4% and 6.3% for the mixed spectra from three independent experiments. The worst prediction errors were found as 5.6%, 5.4% and 13.4% for the same order of experiments. Additionally, Beer-Lambert’s law was utilized to relate transmittance to different volumes of pure algal suspensions demonstrating linear logarithmic trends for optical property measurements.
Keywords: hyperspectral imaging; HSI; hyperspectral imaging system; HIS; spectral response; Beer-Lambert Law; endmember extraction; linear mixing model; constrained linear unmixing
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MDPI and ACS Style

Mehrubeoglu, M.; Teng, M.Y.; Zimba, P.V. Resolving Mixed Algal Species in Hyperspectral Images. Sensors 2014, 14, 1-21.

AMA Style

Mehrubeoglu M, Teng MY, Zimba PV. Resolving Mixed Algal Species in Hyperspectral Images. Sensors. 2014; 14(1):1-21.

Chicago/Turabian Style

Mehrubeoglu, Mehrube; Teng, Ming Y.; Zimba, Paul V. 2014. "Resolving Mixed Algal Species in Hyperspectral Images." Sensors 14, no. 1: 1-21.

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