UAV-Based Multi-Sensor Data Fusion for 3D Building Detection
Three-dimensional building extraction is crucial for urban planning, environmental analysis, and autonomous navigation. One method for data collection involves using unmanned aerial vehicles (UAVs), which allow for flexible and rapid data acquisition. However, accurate 3D building extraction from th...
Saved in:
| Main Authors: | Mohsen Shahraki, Ahmed El-Rabbany, Ahmed Elamin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-3900/110/1/12 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SAMNet++: A Segment Anything Model for Supervised 3D Point Cloud Semantic Segmentation
by: Mohsen Shahraki, et al.
Published: (2025-04-01) -
Urban Tree Species Identification Based on Crown RGB Point Clouds Using Random Forest and PointNet
by: Diego Pacheco-Prado, et al.
Published: (2025-05-01) -
Reconstruction, Segmentation and Phenotypic Feature Extraction of Oilseed Rape Point Cloud Combining 3D Gaussian Splatting and CKG-PointNet++
by: Yourui Huang, et al.
Published: (2025-06-01) -
Improved Indoor 3D Point Cloud Semantic Segmentation Method Based on PointNet++
by: Xingfei Tan, et al.
Published: (2025-01-01) -
PointNet++SAKS: A Point Cloud Model Based on KANs and Attention Mechanism for Objects Classification and Semantic Segmentation
by: Xiaofeng Lu, et al.
Published: (2025-01-01)