High-frequency spectroscopic observation methods using small satellites and drones for monitoring of plankton in theocean and vegetation activity have recently attracted considerable attention. However, in multi-directional spectroscopicimaging, the spectroscopic characteristics vary depending on the observation and illumination angles. Therefore, hugequantities of spectroscopic data were previously required for every conceivable combination of zenith and azimuthangles to identify plant species. The method proposed here can identify any plant species from near-surface and internalreflectance spectroscopic data, regardless of the zenith and azimuth angles. We assume that the observed spectralintensity can be calculated as a linear sum of the near-surface spectral reflectivity and the internal diffusion spectralreflectivity multiplied by the light-source spectral intensity and the reflection correction coefficients a and b. We acquirethe near-surface and internal reflected light as basic spectroscopic data using the orthogonal polarized light illuminationmethod. The coefficients a and b can be calculated from basic spectroscopic data. We obtain m-sets (a_i, b_i) (i =1-m) usingcombinations of the numbers of λ_1…λ_n. If the reflection correction coefficient of the m-sets (a_i, b_i) is close to one, weidentify the observed plant as a plant species contained in the basic data. If the two species are different, the m-sets (a_i,b_i) have uncorrelated values and the m-sets (a_i, b_i) reflection correction coefficient decreases towards zero. In this work,we performed feasibility demonstrations using two types of plant and successfully determined from the basic data thatthe observed plant is the correct plant species.
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