INTEGRATION OF UAV-PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNER DENSE POINT CLOUD FOR TOPOGRAPHIC MAPPING
Topographic mapping using Photogrammetry method is considered as one of the most effective method from time and cost point of view. This method implementation will produce an adequate representative information of an area from top view. Nevertheless, the data acquisition will not entirely cover t...
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id-itb.:813272024-06-13T11:31:28ZINTEGRATION OF UAV-PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNER DENSE POINT CLOUD FOR TOPOGRAPHIC MAPPING Alfaedison, Ryan Geografi matematis Indonesia Final Project Terrestrial Laser Scanner, UAV-Photogrammetry, Point Cloud, DTM, Registration error INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/81327 Topographic mapping using Photogrammetry method is considered as one of the most effective method from time and cost point of view. This method implementation will produce an adequate representative information of an area from top view. Nevertheless, the data acquisition will not entirely cover the terrain underneath the objects that are covering the terrain for instance trees and building. The lack of this method can be solved with terrestrial mapping method which able to obtains the information in the field. One of instrument that can be used is Terrestrial Laser Scanner which have a similiar principle with Total Station in general. The purpose of this research is to evaluate the integration of UAV-Photogrammetry dense point cloud with Terrestrial Laser Scanner dense point cloud in an area which mostly dominated with trees. This research is conducted on Northern area of Institut Teknologi Bandung Jatinangor, Sumedang District. Determination of this area is supported by some factors such as variation of the terrain and an area with dominating trees. Quality analysis from both data integration is done based on height difference from both point cloud data distribution. In order to acquire it, Digital Terrain Model (DTM) comparation is performed on the integration of both data with respect to UAV-Photogrammetry data only to achieve quality difference before and after the TLS point cloud is integrated more clearly. Integration of TLS dense point cloud to UAV-Photogrammetry point cloud is done that is clearly marked with the increasing of data quality and data comprehensiveness. Findings in this research shows the value of RMSE of integration result to check degree of precision are 0.037 from horizontal axis and 0.101 from vertical axis. Whereas RMSE value to check degree of accuracy of comparation data from GNSS measurements are 0.081 m with respect to UAV and 0.062 with respect to TLS in vertical axis. In horizontal axis the values are 0.016 with respect to UAV and 0.031 with respect to TLS. text |
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Geografi matematis Alfaedison, Ryan INTEGRATION OF UAV-PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNER DENSE POINT CLOUD FOR TOPOGRAPHIC MAPPING |
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Topographic mapping using Photogrammetry method is considered as one of the most
effective method from time and cost point of view. This method implementation will
produce an adequate representative information of an area from top view.
Nevertheless, the data acquisition will not entirely cover the terrain underneath the
objects that are covering the terrain for instance trees and building. The lack of this
method can be solved with terrestrial mapping method which able to obtains the
information in the field. One of instrument that can be used is Terrestrial Laser
Scanner which have a similiar principle with Total Station in general. The purpose of
this research is to evaluate the integration of UAV-Photogrammetry dense point cloud
with Terrestrial Laser Scanner dense point cloud in an area which mostly dominated
with trees. This research is conducted on Northern area of Institut Teknologi Bandung
Jatinangor, Sumedang District. Determination of this area is supported by some factors
such as variation of the terrain and an area with dominating trees. Quality analysis
from both data integration is done based on height difference from both point cloud
data distribution. In order to acquire it, Digital Terrain Model (DTM) comparation is
performed on the integration of both data with respect to UAV-Photogrammetry data
only to achieve quality difference before and after the TLS point cloud is integrated
more clearly. Integration of TLS dense point cloud to UAV-Photogrammetry point
cloud is done that is clearly marked with the increasing of data quality and data
comprehensiveness. Findings in this research shows the value of RMSE of integration
result to check degree of precision are 0.037 from horizontal axis and 0.101 from
vertical axis. Whereas RMSE value to check degree of accuracy of comparation data
from GNSS measurements are 0.081 m with respect to UAV and 0.062 with respect to
TLS in vertical axis. In horizontal axis the values are 0.016 with respect to UAV and
0.031 with respect to TLS. |
format |
Final Project |
author |
Alfaedison, Ryan |
author_facet |
Alfaedison, Ryan |
author_sort |
Alfaedison, Ryan |
title |
INTEGRATION OF UAV-PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNER DENSE POINT CLOUD FOR TOPOGRAPHIC MAPPING |
title_short |
INTEGRATION OF UAV-PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNER DENSE POINT CLOUD FOR TOPOGRAPHIC MAPPING |
title_full |
INTEGRATION OF UAV-PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNER DENSE POINT CLOUD FOR TOPOGRAPHIC MAPPING |
title_fullStr |
INTEGRATION OF UAV-PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNER DENSE POINT CLOUD FOR TOPOGRAPHIC MAPPING |
title_full_unstemmed |
INTEGRATION OF UAV-PHOTOGRAMMETRY AND TERRESTRIAL LASER SCANNER DENSE POINT CLOUD FOR TOPOGRAPHIC MAPPING |
title_sort |
integration of uav-photogrammetry and terrestrial laser scanner dense point cloud for topographic mapping |
url |
https://digilib.itb.ac.id/gdl/view/81327 |
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1822009447342407680 |