Abstract: Highlights•Proposed dual network achieves high accuracy (0.99) and interpretable feature extractions for sedimentary rock classification.•Regular DL models achieved high accuracy (>0.94), but relied on irrelevant features for classification.•This study emphasizes importance of interpretability and geological knowledge in developing DL models for geosciences.
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