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Abstract
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Article Information:
Study on Heavy Metal Pollutants Monitoring Methods in Wheat Producing Areas Based on Hyperspectral Remote Sensing
Ma Jing, Shang Hai-Yang and Xu Peilong
Corresponding Author: Ma Jing
Submitted: January 28, 2015
Accepted: March 20, 2015
Published: August 05, 2015 |
Abstract:
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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.
Key words: Hyperspectral remote sensing, wavelet fractal analysis, wheat cadmium pollution, , , ,
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Cite this Reference:
Ma Jing, Shang Hai-Yang and Xu Peilong, . Study on Heavy Metal Pollutants Monitoring Methods in Wheat Producing Areas Based on Hyperspectral Remote Sensing. Advance Journal of Food Science and Technology, (2): 115-118.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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