Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Coupling Normalized Abundance with an Improved Continuum Removal Algorithm for Quantitative Inversion of Carbonate Minerals Using Hyperspectral Data

Version 1 : Received: 5 May 2023 / Approved: 6 May 2023 / Online: 6 May 2023 (05:22:50 CEST)

A peer-reviewed article of this Preprint also exists.

Chen, L.; Wang, L.; Ma, Y.; Lin, Y.; Chen, S. Coupling Normalized Abundance with an Improved Continuum Removal Algorithm for Quantitative Inversion of Carbonate Minerals Using Hyperspectral Data. Ore Geology Reviews 2024, 166, 105927, doi:10.1016/j.oregeorev.2024.105927. Chen, L.; Wang, L.; Ma, Y.; Lin, Y.; Chen, S. Coupling Normalized Abundance with an Improved Continuum Removal Algorithm for Quantitative Inversion of Carbonate Minerals Using Hyperspectral Data. Ore Geology Reviews 2024, 166, 105927, doi:10.1016/j.oregeorev.2024.105927.

Abstract

Mapping or quantitative inversion through remote sensing technology is an active way for mineral monitoring in large or uncultivated forest areas. Different spectral features of minerals, induced by ionic composition, can be identified which are related to mineral type or abundance. Based on the distinctive spectral absorption around 2.33µm induced by the carbonate ion, we use it as an analytic target to propose an improved continuum removal (ICR) algorithm to couple with normalized abundance to evaluate the relationship between continuum removal band depth (CRBD) and carbonate ion abundance. Through experimentally testing with synthetic and real image data, ICR with ratio abundance normalization can enhance the linear relation of CRBD and abundance. We find this technique performs best for abundance retrieval. The lowest root mean square error is 0.0400 for synthetic data and the mean relative error is as low as 6.80% for real image data. Compared with five other algorithms, coupling normalized carbonate mineral abundance with ICR can improve the quantitative retrieval accuracy of carbonate ion. By using a hyperspectral library, we also present a way to retrieve abundance without ground samples. These results make the quantitative inversion of mineral abundance more reasonable by distinct or enhanced features and provide great potential for use to extend mineral information extraction in the absence of sample data, even for surveys of the Moon and Mars for mineral quantitative analysis.

Keywords

improved continuum removal; abundance normalization; continuum removal band depth (CRBD); linear correlation; carbonate mineral inversion

Subject

Environmental and Earth Sciences, Remote Sensing

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