Study on quality distribution characteristics of jujube canopy based on multi-angle hyperspectral polarization

Huaping Luo; liqun sun; Mingli Zou; Ling Guo; Wei Li

doi:10.1117/12.2564910

17 April 2020 Study on quality distribution characteristics of jujube canopy based on multi-angle hyperspectral polarization

Huaping Luo, liqun sun, Mingli Zou, Ling Guo, Wei Li

Author Affiliations +

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 114554G (2020) https://doi.org/10.1117/12.2564910
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

The composition and structure of fruit and other natural products are complex. Due to the influence of environmental factors, it is urgent to combine quantitative detection with remote sensing technology to quickly obtain the quality distribution of jujube in large area of jujube orchard. In order to improve the accuracy and efficiency of the outdoor near-surface quality detection model. The jujube is equivalent to a scattering medium with random refractive index distribution. Biological tissue optical parameters were used to describe the quality changes of jujube in different maturity stages. Through simulating different scattering conditions (particle size, the refractive index) light intensity distribution and the change law of polarization, with the hyperspectral polarization experiments of jujube in indoor and outdoor, Through Principal component analysis(PCA), Minimum Noise Fraction (MNF) reduces the dimension of the hyperspectral imageries, we compared the results and found that the polarization direction in principal component characteristics and minimum noise distribution have obvious difference, the polarization dimension difference between high_dimensional information was expressed by the noise distribution, different characteristics through the dimension of the polarization noise distribution. In the high_dimensional space. The jujubes and the leafs of canopy have obvious differences in P0_MNF14 and P45_MNF13.Jujube can be separated from the complex background. The accuracy and efficiency of near_ground remote sensing for the quality of jujube can be improved by extracting multi_dimensional characteristic information of hyperspectral polarization.

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Huaping Luo, liqun sun, Mingli Zou, Ling Guo, and Wei Li "Study on quality distribution characteristics of jujube canopy based on multi-angle hyperspectral polarization", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 114554G (17 April 2020); https://doi.org/10.1117/12.2564910

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KEYWORDS

Polarization

Refractive index

Scattering

Light scattering

Remote sensing

Hyperspectral simulation

Image enhancement

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