Hyperspectral Data Analysis for Detecting Lead Pollution in Rice

Wei Hong Zhu; Cheng Zhe Xu

doi:10.4028/www.scientific.net/AMM.433-435.456

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Hyperspectral Data Analysis for Detecting Lead...

Hyperspectral Data Analysis for Detecting Lead Pollution in Rice

Abstract:

This paper presents a new method for detecting lead pollution in rice by analyzing hyperspectral data. First, preprocessing method is used to remove the outliers which deviate so much from other hyperspectral data. Then, dimensionality-reduced data are made by using discrete wavelet transform. Finally, linear discriminant analysis is utilized to extract the feature which characterizes polluted and unpolluted rice. The experimental result based on the proposed method shows the good performance in detecting lead pollution in rice.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

456-459

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.456

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Cite this paper

Online since:

October 2013

Authors:

Wei Hong Zhu, Cheng Zhe Xu*

Keywords:

Dimensionality Reduction, Feature Extraction, Hyperspectral Data, Lead Pollution

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* - Corresponding Author

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