A top-down strategy for buildings extraction from complex urban scenes using airborne LiDAR point clouds
• A top-down strategy is proposed for buildings extraction from LiDAR point clouds. • Building details can be better preserved by geometric and topological features. • The performance of the proposed method was validated by two datasets.
Gespeichert in:
| Autor*in: |
Huang, Ronggang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Umfang: |
16 |
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| Übergeordnetes Werk: |
Enthalten in: 274: Low-dose aspirin improves trophoblastic function in early-onset pre-eclampsia - da Silva Costa, Fabricio ELSEVIER, 2014, an international research journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:92 ; year:2018 ; pages:203-218 ; extent:16 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.infrared.2018.05.021 |
|---|
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ELV044843240 |
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| 520 | |a • A top-down strategy is proposed for buildings extraction from LiDAR point clouds. • Building details can be better preserved by geometric and topological features. • The performance of the proposed method was validated by two datasets. | ||
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A top-down strategy for buildings extraction from complex urban scenes using airborne LiDAR point clouds |
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• A top-down strategy is proposed for buildings extraction from LiDAR point clouds. • Building details can be better preserved by geometric and topological features. • The performance of the proposed method was validated by two datasets. |
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• A top-down strategy is proposed for buildings extraction from LiDAR point clouds. • Building details can be better preserved by geometric and topological features. • The performance of the proposed method was validated by two datasets. |
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