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A semi-empirical approach to quantify and handle the effect of moisture on spectral unmixing
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2020-11-16 , DOI: 10.1016/j.jag.2020.102259
Kevin Siebels , Kalifa Goïta , Mickaël Germain

Spectral unmixing techniques aim to retrieve the abundances of the materials contributing to a spectral measurement by inverting the underlying spectral mixture occurring at the surface level. In environment and Earth sciences, the darkening effect of moisture on soils and rocks is a common challenge that may lead to major errors when neglected. In this study, a linear function was calibrated to relate a single moisture index to its spectral effect. The function was then combined with the Neighbor-Band Ratio Unmixing (NBRU) and the Linear Spectral Unmixing (LSU) approaches and applied on spectra of a crafted mixture and a rock sample acquired in laboratory conditions, and on a WorldView-3 (WV3) superspectral image of the Canadian Malartic open pit mine. In laboratory conditions, the addition of the moisture function led to a higher stability and a lower deviation of the abundances retrieved with varying water contents (WC). The combined method also obtained a moisture map of the Mine Canadian Malartic consistent with the known systematic watering performed by the mining company.



中文翻译:

半经验方法来量化和处理水分对光谱解混的影响

光谱解混技术旨在通过反转发生在表面水平的基础光谱混合物来检索有助于光谱测量的材料丰度。在环境和地球科学中,水分对土壤和岩石变暗的影响是一个常见的挑战,如果忽视它可能会导致重大错误。在这项研究中,对线性函数进行了校准,以将单个水分指数与其光谱效应相关联。然后将该功能与“邻域比解混”(NBRU)和“线性光谱解混”(LSU)方法结合使用,并应用于在实验室条件下采集的精制混合物和岩石样品的光谱以及WorldView-3(WV3)加拿大Malartic露天矿的超光谱图像。在实验室条件下 水分功能的加入导致了更高的稳定性,并且随着水含量(WC)的变化,丰度降低了。结合的方法还获得了加拿大马拉特矿的水分图,与采矿公司进行的已知系统浇水相一致。

更新日期:2020-11-16
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