Based on hyperspectral polarization to build the quantitative remote sensing model of jujube in Southern Xinjiang

Huaping Luo; liqun sun; Luying Yi; Ling Guo; Wei Li

doi:10.1117/12.2565213

17 April 2020 Based on hyperspectral polarization to build the quantitative remote sensing model of jujube in Southern Xinjiang

Huaping Luo, liqun sun, Luying Yi, Ling Guo, Wei Li

Author Affiliations +

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 1145566 (2020) https://doi.org/10.1117/12.2565213
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

Radiation calibration is the core issue of quantitative remote sensing. Polarization spectrum detection can characterize fine structure. In order to improve the accuracy of remote sensing under outdoor lighting conditions, the multi-angle polarized hyperspectral images of the jujube canopy were obtained, and the quality distribution characteristics of the jujube canopy were analyzed by extracting multi-dimensional information features such as angle, polarization and spectrum from hyperspectral images. Secondly, the normalized vegetation index NDVI, With the polarization parameter such as the dolp (degree of linear polarization) and Orient to obtain the polarization parameter images of jujube. To get the other targets with obvious features and clear texture in details. Finally, by performing multi-band fitting and related processing on the hyperspectral characterizing the water content and other quality information of the jujube, a polarized hyperspectral quantitative remote sensing model was established to obtain grayscale images that characterize the spatial distribution of the water content and other qualities. This provides an important reference for the development of digital intelligent agriculture.

Citation Download Citation

Huaping Luo, liqun sun, Luying Yi, Ling Guo, and Wei Li "Based on hyperspectral polarization to build the quantitative remote sensing model of jujube in Southern Xinjiang", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 1145566 (17 April 2020); https://doi.org/10.1117/12.2565213

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KEYWORDS

Polarization

Dielectric polarization

Remote sensing

Reflection

Calibration

Hyperspectral imaging

Image processing

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