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Expanding the Global Martian Landslide Inventory with Multimodal DINOv2 Feature Fusion and SVM Classification

  • Authors: Yunwan Tao, Lu Pan, Zongfang Liu

Yunwan Tao et al 2026 The Planetary Science Journal 7 .

  • Provider: AAS Journals

Caption: Figure 9.

Performance across all folds. (a) Accuracy versus folds. (b) Precision versus folds. (c) Recall versus folds. Feature concatenation achieves the best performance, with the top scores in accuracy, precision, and recall. MOLA DEM performs relatively poorly, but still has an average score > 0.850.

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