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Remote Sensing Technology and Application  2010, Vol. 25 Issue (3): 353-357    DOI: 10.11873/j.issn.1004-0323.2010.3.353
article     
Study on Band Selection and Optimal Spectral Resolution for Prediction of Cu Contamination in Soils
HUANG Chang-ping1,2,LIU Bo1,2,ZHANG Xia1,TONG Qing-xi1,3
1.The State Key Laboratory of Remote Sensing Sciences,Institute ofRemote Sensing Application,Chinese Academy of Sciences,Beijing 100101,China;
2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;3.Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China
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Abstract  

Hyper-spectral data offers a powerful tool for predicting soil heavy metal contamination due to its high spectral resolution and many continuous bands.Band selection and spectral resolution,however,are the prerequisite of heavy metal inversion by  hyper-spectral data.In this study,soil reflectance spectra and their Cu contents were measured for 181 soil samples in the laboratory.Based on these dataset,band selection was conducted to inverse Cu content using stepwise regression approach,and prediction accuracies of Cu based on partial least-squares regression (PLSR) model with different selected bands were analyzed.In addition,the influences of spectral resolution on prediction results of Cu were discussed by a Gaussian re-sampling function.It demonstrated that the optimal band number was 10 for Cu inversion and the corresponding model prediction accuracy was R2=0.7523 and RMSE of 0.4699.The optimal spectral resolution was 32 nm and the model on this basis had an accuracy of R2=0.7028 and RMSE=0.5147.Results of this paper may provide scientific verification for designing low-cost and practical hyper-spectral space-borne sensors and provide theoretical bases for simulating space-borne sensors to predict soil heavy metals content in the future.

Key words:   Remote sensing prediction of Cu      Hyper-spectral data      Spectral re-sampling      PLSR      Band selection     
Published:  20 October 2010
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HUANG Chang-ping
LIU Bo
ZHANG Xia
TONG Qing-Xi

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HUANG Chang-ping, LIU Bo, ZHANG Xia, TONG Qing-Xi. Study on Band Selection and Optimal Spectral Resolution for Prediction of Cu Contamination in Soils. Remote Sensing Technology and Application, 2010, 25(3): 353-357.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.3.353     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I3/353

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