SONG Shalei, LI Pingxiang, GONG Wei, WANG Jinping. PLS Wavelength Selection by Hyperspectral Remote Sensing in Rice[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 219-223.
Citation: SONG Shalei, LI Pingxiang, GONG Wei, WANG Jinping. PLS Wavelength Selection by Hyperspectral Remote Sensing in Rice[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 219-223.

PLS Wavelength Selection by Hyperspectral Remote Sensing in Rice

Funds: 国家973计划资助项目(2009CB723905);国家863计划资助项目(2009AA12Z107);国家自然科学基金资助项目(40871171)
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  • Received Date: December 14, 2009
  • Revised Date: December 14, 2009
  • Published Date: February 04, 2010
  • The objective of the present research was to identify and select the spectral wavelength with the partial least square(PLS) method for the study of rice.We use PLS method to select the wavelengths which have the largest weightings for rice leaf biochemical concentrations respectively for leaf nitrogen concentration and chloroghyll-a concentration.In order to evaluate the wavelength selection results,we construct eight kinds of wavelength(bands) combinations for rice leaf nitrogen concentration inversion analysis by PLS.The most appropriate wavelengths are 552 nm,675 nm,752 nm,776 nm,respectively.
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