INTEGRASI AWAN TITIK RAPAT DARI RAGAM SENSOR DAN RESOLUSI STUDI KASUS: CANDI SEWU
Integration is a method for merging two or more data with different characteristics, to create a unified data. Those data represent each sensor, yielding a 3D model that depicts its real form. One of the data integrations in the field of Geomatics is point cloud integrated Fotogrametri UAV, LiDAR, T...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/50491 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Integration is a method for merging two or more data with different characteristics, to create a unified data. Those data represent each sensor, yielding a 3D model that depicts its real form. One of the data integrations in the field of Geomatics is point cloud integrated Fotogrametri UAV, LiDAR, Terrestrial Laser Scanner, Close-Range Photogrammetry, and GeoSLAM. The purpose of this research is to register point clouds, integrate various sensors and resolutions, and finally determine the optimal sensor combination. This research uses Sewu Temple as the object of study, located in Prambanan District, Sleman Regency, Special Region of Yogyakarta, Indonesia. The data processing stages are filtering, resampling, and point cloud registration. Furthermore, a cross-section is done to identify the characteristics of each point cloud generated by different sensors. This can be used to determine the point cloud weight for the integration process. The final result of this research is a point cloud that has been integrated from various sensors and resolutions, and also the optimal sensor combination. In conclusion, point cloud integration can be carried out by the weighting method for each sensor based on the detail, accuracy, density from the point clouds, and registered RMS. Also, the optimal sensor combination is Fotogrametri UAV, Terrestrial Laser Scanner, and GeoSLAM.
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