SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds
• A developed SD-GCN model for accuracy pavement crack extraction from point clouds. • Feature maps and saliency matrices construction for high-level feature encodings. • Multi-scale graph-based efficient network for inherent point feature and edge feature representations. • Cylinder-based dilated c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ma, Lingfei [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Network-wide assessment of ATM mechanisms using an agent-based model - Delgado, Luis ELSEVIER, 2021transfer abstract, s.l. |
|---|---|
| Übergeordnetes Werk: |
volume:111 ; year:2022 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.jag.2022.102836 |
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| 520 | |a • A developed SD-GCN model for accuracy pavement crack extraction from point clouds. • Feature maps and saliency matrices construction for high-level feature encodings. • Multi-scale graph-based efficient network for inherent point feature and edge feature representations. • Cylinder-based dilated convolution strategy for computational efficiency improvement. | ||
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| 650 | 7 | |a Feature saliency |2 Elsevier | |
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| 650 | 7 | |a Dilated convolution |2 Elsevier | |
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• A developed SD-GCN model for accuracy pavement crack extraction from point clouds. • Feature maps and saliency matrices construction for high-level feature encodings. • Multi-scale graph-based efficient network for inherent point feature and edge feature representations. • Cylinder-based dilated convolution strategy for computational efficiency improvement. |
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• A developed SD-GCN model for accuracy pavement crack extraction from point clouds. • Feature maps and saliency matrices construction for high-level feature encodings. • Multi-scale graph-based efficient network for inherent point feature and edge feature representations. • Cylinder-based dilated convolution strategy for computational efficiency improvement. |
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• A developed SD-GCN model for accuracy pavement crack extraction from point clouds. • Feature maps and saliency matrices construction for high-level feature encodings. • Multi-scale graph-based efficient network for inherent point feature and edge feature representations. • Cylinder-based dilated convolution strategy for computational efficiency improvement. |
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SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds |
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