Advanced LiDAR

Performance of Affordable 2D Cave Scanning Technique from LiDAR for Constructing 3D Cave Models

2023-11-30T09:19:55+00:00

This research presents and assesses an approach for constructing 3D cave models through a cave-profile scanning technique by using a low-cost 2D scanning LiDAR. The methodology was successfully implemented in three caves located in Thailand. The entire process of each cave took approximately 9-10 hours to complete. Although there were some limitations with the equipment during the scanning process, the cost-effectiveness of this technique makes it accessible for widespread use. The studied technique also allows individuals and organizations from different countries to easily adopt this method without financial constraints. The outcomes of this technique produced satisfactory 3D cave models, which have practical applications in geo-resource management and various scientific endeavors.

Comprehensive Study on Enhanced Accuracy Analysis of LIDAR Data : The Example of Skopje

2024-01-09T13:33:35+00:00

By harnessing LIDAR technology, a prominent remote sensing method widely employed today, we explore its efficacy as a rapid and dependable tool for data collection. We focus on generating a numerical terrain model by leveraging the CSF Filter algorithm within the accessible CloudCompare software to filter an urban LIDAR point cloud. This study involves meticulous manual intervention to eliminate noise points, followed by examining the creation of a numerical terrain model by varying cover values (0.1, 0.5, 1, 2, and 5) in the CSF Filter algorithm. Our investigation delves into calculating the volume disparity between a reference model meticulously crafted within a computer environment, integrating manual interventions, and models derived through the CSF Filter algorithm. This approach aims to identify the cover value that best approximates reality in filtering operations. The decryption of volume disparities between the computer-generated reference model and the CSF Filter algorithm sheds light on the most accurate filtering outcome. The results indicates that opting for a cover value of 5 yields the most significant divergence from the reference model, presenting a less accurate model. Conversely, selecting a cover value of 0.5 as input data offers the closest approximation to the truth. However, it remains evident that manual interventions are indispensable for refining filtering operations even in the most precise model derived from these investigations.

Comparing Photogrammetry and Smartphone LIDAR for 3D Documentation: Kızılkoyun Necropolis Case Study

2024-01-09T13:53:29+00:00

Archaeological remains and historical artifacts serve as essential records that illuminate a society's history, culture, and lifestyle. Vulnerable to damage from various factors, these artifacts pose challenges to sustainable preservation and hinder cultural and artistic comprehension. Documenting their present state and recording features become imperative to mitigate potential information loss. Photogrammetry, an image-based technique, emerges as a key method for three-dimensional documentation by merging two-dimensional images from different angles. This process utilizes cameras with diverse focal lengths and specialized software to generate 3D models from photograph surfaces. Additionally, LIDAR, employing short laser bursts and backscattering, proves invaluable for documentation. Its advantages, including high accuracy, dense point data, and rapid data collection, have been further extended with recent technological strides, allowing integration into smartphones. This study exemplifies the creation of a 3D point cloud of a relief sculpture in the Kızılkoyun Necropolis, achieved through the synergistic use of photogrammetry and a LIDAR sensor embedded in a smartphone.

Documentation of Archaeological Excavation Sites with Terrestrial Laser Scanning and UAV Photogrammetry Methods

2024-03-08T10:25:18+00:00

This study discusses the modeling processes with Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanner (TLS) and their performance in archaeological excavation sites. By analyzing and comparing the data obtained with both UAV and TLS, the study shows that both modeling methods are suitable for excavation site modeling and have different advantages. These results show that both methods have significant potential to facilitate and improve archaeological site planning and documentation.