The Frontiers of Society, Science and Technology, 2019, 1(1); doi: 10.25236/FSST.070111.
TieLi Yang
University of science and technology Liaoning, ANSHAN, 114051, Liaoning, China
When the typical hyperspectral image classification method is used for vegetation classification and extraction, its extraction accuracy and precision classification degree are difficult to meet the practical application requirements. Hyperspectral data acquisition is mainly accomplished by two kinds of sensors: non-imaging spectrometer and imaging spectrometer. This paper combines SCVHR 1024i portable hyperspectral instrument and ubert UHD185 UAV imaging spectrometer to collect spectral reflectance curve of soybean, through data processing to achieve the purpose of analysis of its growth, and has a strong guiding significance for large-scale monitoring of soybean nutrition, pests, pesticide residues and so on.
Scheme，Hyperspectral Curve，Growing Soybean
TieLi Yang, Scheme of Hyperspectral Curve of Growing Soybean. The Frontiers of Society, Science and Technology (2019) Vol. 1: 75-83. https://doi.org/10.25236/FSST.070111.
[1] Luo Dan(2017). STUDY ON MONITORINF NITROGEN STATUS BASED ON HYPERSPECTRAL REMOTE SENSING IN WINTER WHEAT, Northwest A &F University..
[2] Li Jia zhen(2012). Applications of Hyperspectral remote sensing on finding uranium enrichment plants, EAST CHINA INSTITUTE OF TECHNOLOGY, no. 9, pp. 64- 73.
[3] Qin Jinchun(2014).Research on Vegetation Classification and Extraction Technology of Hyperspectral Image. PLA Information Engineering University.