Interpretable Semisupervised Classification Method Under Multiple Smoothness Assumptions With Application to Lithology Identification
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DOI: 10.1109/lgrs.2020.2978053
Abstract: In this letter, considering the lack of core and drilling cuttings, an interpretable semisupervised classification method (ISSCM) under multiple smoothness assumptions is proposed and applied to lithology identification. The contribution is threefold. First, the novel… read more here.
Keywords: multiple smoothness; method; smoothness assumptions; lithology identification ... See more keywords