Study on heavy metal pollutants monitoring methods in wheat producing areas based on hyperspectral remote sensing
Jing, Ma1; Hai-Yang, Shang2; Peilong, Xu3
2015
发表期刊Advance Journal of Food Science and Technology
卷号9期号:2页码:115-118
摘要

Aims: To establish heavy metal pollutants monitoring methods in wheat producing areas. Methods: Through hyperspectral remote sensing technology, wavelet energy coefficient was used to estimate the heavy metal pollution threads in wheat producing areas. Results: The study results showed that the spectral fractal dimension db series db5 wavelet decomposition of the third layer is the most stable and reliable signal. Conclusion: This method is rapid, widely applicable and could provide a convenient and accurate way in monitoring cadmium contamination of wheat. © Maxwell Scientific Organization, 2015.

关键词Cadmium Fractal dimension Fractals Heavy metals Monitoring Pollution Pollution detection Wavelet decomposition Cadmium contamination Fractal analysis Heavy metal pollutants Heavy metal pollution Hyperspectral remote sensing Hyperspectral remote sensing technology Monitoring methods Wavelet energy coefficients
DOI10.19026/ajfst.9.1944
收录类别EI
ISSN20424868
语种英语
出版者Maxwell Science Publications
EI入藏号20153401183553
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/9659
专题兰州财经大学
作者单位1.College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou, China;
2.Lanzhou University of Finance and Economics, Lanzhou, China;
3.Analysis and Test Center, Qingdao University, Qingdao, China
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Jing, Ma,Hai-Yang, Shang,Peilong, Xu. Study on heavy metal pollutants monitoring methods in wheat producing areas based on hyperspectral remote sensing[J]. Advance Journal of Food Science and Technology,2015,9(2):115-118.
APA Jing, Ma,Hai-Yang, Shang,&Peilong, Xu.(2015).Study on heavy metal pollutants monitoring methods in wheat producing areas based on hyperspectral remote sensing.Advance Journal of Food Science and Technology,9(2),115-118.
MLA Jing, Ma,et al."Study on heavy metal pollutants monitoring methods in wheat producing areas based on hyperspectral remote sensing".Advance Journal of Food Science and Technology 9.2(2015):115-118.
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