2023
DOI: 10.3389/feart.2022.1086325
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Research on quantitative inversion of ion adsorption type rare earth ore based on convolutional neural network

Abstract: Rare earth resource is a national strategic resource, which plays an essential role in the field of high technology research and development. In this paper, we aim to use remote sensing quantitative inversion prospecting technology, use surface-to-surface mode, and model inversion and evaluation through convolutional neural network model to achieve a new research method for large-scale, low-cost, rapid and efficient exploration of ion-adsorbed rare earth ore. The results show that the RE2O3 content of samples … Show more

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Cited by 3 publications
(1 citation statement)
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“…In the case of unsaturated soil, the growing water content within the soil leads to a reduction in the surface tension caused by the water's boundary forces within the pores of the soil particles. This, in turn, causes a decrease in the physical cohesion between soil particles, resulting in reduced soil slope stability (Cheng et al, 2023). When the ore body reaches saturation, the suction between soil particles disappears, and at this time it does not affect stability.…”
Section: Rainfall (1) Soil Water Contentmentioning
confidence: 99%
“…In the case of unsaturated soil, the growing water content within the soil leads to a reduction in the surface tension caused by the water's boundary forces within the pores of the soil particles. This, in turn, causes a decrease in the physical cohesion between soil particles, resulting in reduced soil slope stability (Cheng et al, 2023). When the ore body reaches saturation, the suction between soil particles disappears, and at this time it does not affect stability.…”
Section: Rainfall (1) Soil Water Contentmentioning
confidence: 99%