Comparing the effects of different spectral transformations on the estimation of the copper content of Seriphidium terrae-albae

Shichao Cui; Kefa Zhou; Rufu Ding; Jie Zhao; Xishihui Du

doi:10.1117/1.JRS.12.036003

12 July 2018 Comparing the effects of different spectral transformations on the estimation of the copper content of Seriphidium terrae-albae

Shichao Cui, Kefa Zhou, Rufu Ding, Jie Zhao, Xishihui Du

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 3, 036003 (July 2018). https://doi.org/10.1117/1.JRS.12.036003

Abstract

Continual advances in hyperspectral technology have allowed researchers to easily and rapidly estimate the copper content of Seriphidium terrae-albae, an effective indicator plant for the exploration of copper deposits. Seriphidium terrae-albae is a small semishrub with relatively small leaves. Therefore, the canopy spectra are intensely affected by the surrounding soil. This significantly affects the inversion accuracy of copper content. Spectral data transformation is important in eliminating background noise and extracting spectral features. This paper focuses on researching the effects of different spectral transformation methods on the copper content inversion accuracy in Seriphidium terrae-albae and selecting the most effective method. It begins by conducting 12 spectral transformations for original spectra and then inputting a spectrum that has been transformed into the partial least squares model (PLS) for further modeling the input parameters. The final step is selecting cross-validation R² as a standard for the most suitable spectral transformation method. The results indicate that different spectral transformation methods significantly affect the accuracy of the copper content inversion. The original spectrum that has undergone the first and second derivations can dramatically increase the copper content inversion accuracy. This includes the optimum spectral transformation as the second-order derivative of the square root of the raw spectrum. This paper also examines the variation trends of correlation between the same band and copper content under different spectral transformations. The results indicate that each band always has an optimum spectral transformation method. Therefore, this paper proposes using different spectral transformation methods at different wavelengths to form a combined spectrum within the whole wavelength. The experiments conducted as a part of this study demonstrate that the combined spectrum can greatly improve the copper content inversion accuracy in comparison with the single spectral transformation method. These findings can provide some reference for scholars, who will use hyperspectral data to estimate the metal content of plants similar to Seriphidium terrae-albae.

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Shichao Cui, Kefa Zhou, Rufu Ding, Jie Zhao, and Xishihui Du "Comparing the effects of different spectral transformations on the estimation of the copper content of Seriphidium terrae-albae," Journal of Applied Remote Sensing 12(3), 036003 (12 July 2018). https://doi.org/10.1117/1.JRS.12.036003

Received: 12 March 2018; Accepted: 22 June 2018; Published: 12 July 2018

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