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  • 标题:Study on Heavy Metal Pollutants Monitoring Methods in Wheat Producing Areas Based on Hyperspectral Remote Sensing
  • 本地全文:下载
  • 作者:Ma Jing ; Shang Hai-Yang ; Xu Peilong
  • 期刊名称:Advance Journal of Food Science and Technology
  • 印刷版ISSN:2042-4868
  • 电子版ISSN:2042-4876
  • 出版年度:2015
  • 卷号:9
  • 期号:2
  • 页码:115-118
  • 出版社:MAXWELL Science Publication
  • 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.
  • 关键词:Hyperspectral remote sensing ; wavelet fractal analysis ; wheat cadmium pollution ; ; ;
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