Heidar Rastiveis
Biographic Data
| ID | 3063361 |
|---|---|
| NAME | Heidar Rastiveis |
| GIVEN NAMES | Heidar |
| FAMILY NAME | Rastiveis |
| SIGNATURE | RASTIVEIS H |
| AFFILIATIONS | Purdue University West Lafayette |
| ORCID | 0000-0002-2767-3462 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
An enhanced descriptor extraction algorithm for power line detection from point clouds
Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …
Segment-by-segment comparison technique for earthquake-induced building damage map generation using satellite imagery
An enhanced descriptor extraction algorithm for power line detection from point clouds
Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …
Segment-by-segment comparison technique for earthquake-induced building damage map generation using satellite imagery
An enhanced descriptor extraction algorithm for power line detection from point clouds
Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …
Artificial Intelligence (2 works) · Computer Science (2 works) · Data mining (2 works) · Feature extraction (2 works) · 3D Surveying and Cultural Heritage (1 work) · Algorithm (1 work) · Artificial neural network (1 work) · Cartography (1 work) · Damages (1 work) · Data pre-processing (1 work)