Mineral absorption feature extraction in vegetation covered region based on reference spectral background removal

Hengqian Zhao, Lifu Zhang, Xuesheng Zhao
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引用次数: 1

Abstract

Diagnostic absorption feature has the potential to be the key factor of mineral information extraction in vegetation-covered region. Reference Spectral Background Removal (RSBR) could simulate the background curve based on the reference spectral background, and eliminate the influence through the background removal process. In this paper, RSBR was introduced into to mineral absorption feature extraction from high vegetation density area. Experiments on simulated data validated its great potential in mineral exploration in vegetation-covered region.
基于参考光谱背景去除的植被覆盖区矿物吸收特征提取
诊断吸收特征有可能成为植被覆盖地区矿物信息提取的关键因素。参考光谱背景去除(RSBR)可以基于参考光谱背景模拟背景曲线,并通过背景去除过程消除背景影响。本文将RSBR引入到高植被密度地区矿物吸收特征提取中。模拟数据实验验证了该方法在植被覆盖地区矿产勘查中的巨大潜力。
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