Hyperspectral Data Analysis for Detecting Lead Pollution in Rice

被引：0
|
作者：
Zhu, Wei-hong [1 ]
Xu, Chengzhe [1 ]
机构：
[1] Yanbian Univ, Minist Educ Secretary, Key Lab Nat Resources Changbai Mt & Funct Mol, Yanji 133002, Jilin, Peoples R China
来源：
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING II, PTS 1-3 | 2013年 / 433-435卷
关键词：
Hyperspectral data; lead pollution; dimensionality reduction; feature extraction; STRESS;
D O I：
10.4028/www.scientific.net/AMM.433-435.456
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：456 / 459
页数：4
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