Resolving mixed algal species in hyperspectral images

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dc.contributor.authorMehrubeoglu, Mehrube
dc.contributor.authorTeng, Ming Y.
dc.contributor.authorZimba, Paul V.
dc.date.accessioned2021-10-28T19:24:01Z
dc.date.available2021-10-28T19:24:01Z
dc.date.issued2013-12-19
dc.description.abstractWe 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.en_US
dc.identifier.citationMehrubeoglu, M., Teng, M.Y. and Zimba, P.V., 2014. Resolving mixed algal species in hyperspectral images. Sensors, 14(1), pp.1-21.en_US
dc.identifier.doihttps://doi.org/10.3390/s140100001
dc.identifier.urihttps://hdl.handle.net/1969.6/89927
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjecthyperspectral imagingen_US
dc.subjecthsien_US
dc.subjecthyperspectral imaging systemen_US
dc.subjectspectral responseen_US
dc.subjectbeer-lambert lawen_US
dc.subjectendmember extractionen_US
dc.subjectlinear extractionen_US
dc.subjectlinear mixing modelen_US
dc.subjectconstrained linear unmixingen_US
dc.titleResolving mixed algal species in hyperspectral imagesen_US
dc.typeArticleen_US

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