矿物智能识别是地球科学与信息科学的重要交叉方向, 显示出强大的生命力.
本文在调研国内外研究动态的基础上, 把矿物智能识别划分为4 个阶段, 即矿物采集, 数据获取 …

Artificial intelligence is a branch of computer science that attempts to understand the
essence of intelligence and produce a new intelligent machine capable of responding in a …

Artificial intelligence (AI) technology has significant potential in Earth sciences, particularly in
mineral identification for industrial exploration, geological mapping, and archaeological …

Mineral segmentation in thin sections is a challenging, popular, and important research topic
in computational geology, mineralogy, and mining engineering. Mineral segmentation in thin …

Mineral identification is an important part of geological research. Traditional mineral
identification methods heavily rely on the identification ability of the identifier and external …

Terrestrial tight oil has extremely strong diagenesis heterogeneity, so a large number of rock
thin slices are needed to reveal the real microscopic pore-throat structure characteristics. In …

Geologists infer many issues associated with the formation of the Earth, depositional history
and weathering processes based on rock assessment. Preparation of the thin sections of …

The most widely used method for mineral type classification from a rock thin section is done
by the observation of optical properties of a mineral in a polarized microscope rotation stage …

The beach sand minerals are in great demand since they are the source of titanium and are
widely used in atomic energy and many other industries. Despite that, the identification and …

地学大数据和机器学习的结合, 为矿床勘查提供了新的发展方向. 华南广泛发育花岗岩体,
是花岗岩型铀矿的重要产区, 因此如何判断特定花岗岩体是否具有产铀矿的潜力 …