Spectral variational mode decomposition and VMD-CR-ED model on measuring vopper and lead pollution of corn
Received:June 26, 2017  Revised:September 05, 2017  download
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Author NameAffiliationE-mail
YANG Ke-Ming College of Geoscience and Surveying Engineering,China University of Mining TechnologyBeijing ykm69@163.com 
SUN Tong-Tong College of Geoscience and Surveying Engineering,China University of Mining TechnologyBeijing ninastt@163.com 
ZHANG Wei College of Geoscience and Surveying Engineering,China University of Mining TechnologyBeijing  
CHENG Long College of Geoscience and Surveying Engineering,China University of Mining TechnologyBeijing  
WANG Xiao-Feng College of Geoscience and Surveying Engineering,China University of Mining TechnologyBeijing  
Abstract:The monitoring of heavy metal pollution in crops is one important application of hyperspectral remote sensing study. Heavy metal pollution can cause spectral distortion of crop, but the crop spectra of different pollution degrees still have very high similarity in shape, so one of the key problems in monitoring its distortion is how to extract the weak difference information between similar spectra. In this study, a VMD-CR-ED measurement model was established by introducing the variational mode decomposition (VMD) theory into weak change monitoring of spectral information and combining with the continuum removal (CR) and euclidean distance (ED) methods. The model was proved to be superior in distinguishing the different pollution degrees of corn leaves by compared with SA and SCC. At the same time, the correlation between VMD-CR-ED model and eight characteristic sub-bands of corn leaf spectrum was analyzed. Finally, based on the test data, it is proved that the VMD-CR-ED measurement model is feasible and reliable in the monitoring of copper and lead pollution of crops.
keywords:Spectral  analysis, Variational  Mode Decomposition, Crop, Copper  and lead  heavy metal, Pollution  monitoring model
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Copyright:《Journal of Infrared And Millimeter Waves》