TY - GEN
T1 - Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method
AU - Ma, Weibo
AU - Tan, Kun
AU - Du, Qian
AU - Ding, Jianwei
AU - Yan, Qingwu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/28
Y1 - 2016/6/28
N2 - The potential hazard of heavy metals in reclaimed mine soil has influenced on the human health. The inversion analysis of hyperspectral data can be used to estimate heavy metal content of the soil effectively. In this paper, the characteristic bands are extracted by spectral pretreatment, including Savitzky-Golay (SG), Standard Normal Variety (SNV), First Derivative (FD), Second Derivative (SD), or Continuum Removal (CR) etc. Then, the weighted k-Nearest Neighbor (weighted k-NN) method is applied in the heavy metal inversion modeling to estimate the content of heavy metal with hyperspectral data. Compared with the widely used partial least squares regression (PLS), support vector machine (SVM) and k-Nearest Neighbor method (k-NN), the experimental results shown that the accuracy of weighted k-NN method was higher than other methods in the inversion of heavy Zinc (Zn), Chromium (Cr) and Plumbum (Pb).
AB - The potential hazard of heavy metals in reclaimed mine soil has influenced on the human health. The inversion analysis of hyperspectral data can be used to estimate heavy metal content of the soil effectively. In this paper, the characteristic bands are extracted by spectral pretreatment, including Savitzky-Golay (SG), Standard Normal Variety (SNV), First Derivative (FD), Second Derivative (SD), or Continuum Removal (CR) etc. Then, the weighted k-Nearest Neighbor (weighted k-NN) method is applied in the heavy metal inversion modeling to estimate the content of heavy metal with hyperspectral data. Compared with the widely used partial least squares regression (PLS), support vector machine (SVM) and k-Nearest Neighbor method (k-NN), the experimental results shown that the accuracy of weighted k-NN method was higher than other methods in the inversion of heavy Zinc (Zn), Chromium (Cr) and Plumbum (Pb).
KW - Hyperspectral inversion
KW - Soil heavy metal
KW - Weighted k-NN
UR - https://www.scopus.com/pages/publications/85037530006
U2 - 10.1109/WHISPERS.2016.8071813
DO - 10.1109/WHISPERS.2016.8071813
M3 - 会议稿件
AN - SCOPUS:85037530006
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2016 8th Workshop on Hyperspectral Image and Signal Processing
PB - IEEE Computer Society
T2 - 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2016
Y2 - 21 August 2016 through 24 August 2016
ER -
