Irwan Meilano
Biographic Data
| ID | 5104530 |
|---|---|
| NAME | Irwan Meilano |
| GIVEN NAMES | Irwan |
| FAMILY NAME | Meilano |
| SIGNATURE | MEILANO I |
| AFFILIATIONS | Bandung Institute of Technology |
| ORCID | 0000-0003-3488-9154 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Automating Three-Dimensional Cadastral Models of 3D Rights and Buildings Based on the Ladm Framework
Before the development of 3D cadastre, cadastral systems were based on 2D representations, which now require transformation or updating. In this context, the first issue is that existing 2D rights are not aligned with recent 3D data acquired using advanced technologies such as Unmanned Aerial Vehicle–Light Detection and Ranging (UAV-LiDAR). The second issue is that point clouds of objects captured by UAV-LiDAR, such as fences and exterior buildin…
Three-Dimensional Digital Documentation for the Conservation of the Prambanan Temple Cluster Using Guided Multi-Sensor Techniques
The Prambanan Temple cluster is a world heritage site that has significant value for humanity, a multiple zone cluster arrangement of highly ornamented towering temples, and a Hindu architectural pattern design. It lies near the Opak Fault, at the foothills of Mount Merapi, on an unstable ground layer, and is surrounded by human activities in Yogyakarta, Indonesia. The site’s vulnerability implies the necessity of 3D digital documentation for its…
Developing a marine and fisheries blue economy index for Indonesia
Performance Analysis of Random Forest Algorithm in Automatic Building Segmentation with Limited Data
Airborne laser technology produces point clouds that can be used to build 3D models of buildings. However, the work is a laborious process that could benefit from automation. Artificial intelligence (AI) has been widely used in automating building segmentation as one of the initial stages in the 3D modeling process. The algorithms with a high success rate using point clouds for automatic semantic segmentation are random forest (RF) and PointNet++…
No prominent works on this page.
Performance Analysis of Random Forest Algorithm in Automatic Building Segmentation with Limited Data
Airborne laser technology produces point clouds that can be used to build 3D models of buildings. However, the work is a laborious process that could benefit from automation. Artificial intelligence (AI) has been widely used in automating building segmentation as one of the initial stages in the 3D modeling process. The algorithms with a high success rate using point clouds for automatic semantic segmentation are random forest (RF) and PointNet++…
Automating Three-Dimensional Cadastral Models of 3D Rights and Buildings Based on the Ladm Framework
Before the development of 3D cadastre, cadastral systems were based on 2D representations, which now require transformation or updating. In this context, the first issue is that existing 2D rights are not aligned with recent 3D data acquired using advanced technologies such as Unmanned Aerial Vehicle–Light Detection and Ranging (UAV-LiDAR). The second issue is that point clouds of objects captured by UAV-LiDAR, such as fences and exterior buildin…
Three-Dimensional Digital Documentation for the Conservation of the Prambanan Temple Cluster Using Guided Multi-Sensor Techniques
The Prambanan Temple cluster is a world heritage site that has significant value for humanity, a multiple zone cluster arrangement of highly ornamented towering temples, and a Hindu architectural pattern design. It lies near the Opak Fault, at the foothills of Mount Merapi, on an unstable ground layer, and is surrounded by human activities in Yogyakarta, Indonesia. The site’s vulnerability implies the necessity of 3D digital documentation for its…
Developing a marine and fisheries blue economy index for Indonesia
3D Surveying and Cultural Heritage (3 works) · Computer Science (3 works) · 3D Modeling in Geospatial Applications (2 works) · Data mining (2 works) · Engineering (2 works) · Point cloud (2 works) · Remote Sensing and LiDAR Applications (2 works) · Ancient history (1 work) · Archaeological Research and Protection (1 work) · Artificial Intelligence (1 work)