Ramazan Alper Kuçak
Biographic Data
| ID | 9967351 |
|---|---|
| NAME | Ramazan Alper Kuçak |
| GIVEN NAMES | Ramazan Alper |
| FAMILY NAME | Kuçak |
| SIGNATURE | KUÇAK R A |
| AFFILIATIONS | Istanbul Technical University |
| ORCID | 0000-0002-1128-1552 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
An Experimental Study of a New Keypoint Matching Algorithm for Automatic Point Cloud Registration
Light detection and ranging (LiDAR) data systems mounted on a moving or stationary platform provide 3D point cloud data for various purposes. In applications where the interested area or object needs to be measured twice or more with a shift, precise registration of the obtained point clouds is crucial for generating a healthy model with the combination of the overlapped point clouds. Automatic registration of the point clouds in the common coord…
Utilizing Airborne LiDAR and UAV Photogrammetry Techniques in Local Geoid Model Determination and Validation
This investigation evaluates the performance of digital terrain models (DTMs) generated in different vertical datums by aerial LiDAR and unmanned aerial vehicle (UAV) photogrammetry techniques, for the determination and validation of local geoid models. Many engineering projects require the point heights referring to a physical surface, i.e., geoid, rather than an ellipsoid. When a high-accuracy local geoid model is available in the study area, t…
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Utilizing Airborne LiDAR and UAV Photogrammetry Techniques in Local Geoid Model Determination and Validation
This investigation evaluates the performance of digital terrain models (DTMs) generated in different vertical datums by aerial LiDAR and unmanned aerial vehicle (UAV) photogrammetry techniques, for the determination and validation of local geoid models. Many engineering projects require the point heights referring to a physical surface, i.e., geoid, rather than an ellipsoid. When a high-accuracy local geoid model is available in the study area, t…
An Experimental Study of a New Keypoint Matching Algorithm for Automatic Point Cloud Registration
Light detection and ranging (LiDAR) data systems mounted on a moving or stationary platform provide 3D point cloud data for various purposes. In applications where the interested area or object needs to be measured twice or more with a shift, precise registration of the obtained point clouds is crucial for generating a healthy model with the combination of the overlapped point clouds. Automatic registration of the point clouds in the common coord…
3D Surveying and Cultural Heritage (2 works) · Computer Science (2 works) · Geography (2 works) · Lidar (2 works) · Remote sensing (2 works) · Remote Sensing and LiDAR Applications (2 works) · Aerospace Engineering (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Cartography (1 work)