| Title |
3D Point Cloud Aerotriangulation for Smart City Reconstruction |
| ID_Doc |
39954 |
| Authors |
Azri, S; Ujang, U |
| Title |
3D Point Cloud Aerotriangulation for Smart City Reconstruction |
| Year |
2021 |
| Published |
Gim International-The Worldwide Magazine For Geomatics, 35, 7 |
| DOI |
|
| Abstract |
3D city models are used as the underlying base for smart cities before being combined with other smart technologies such as building sensors, traffic control, street lighting and other advanced tools. 3D city models can be built using various spatial data acquisition techniques. Nevertheless, it is relatively challenging to acquire complete large-scale environment 3D spatial data using a single type of sensor because of limitations such as a single perspective view. Thus, the integration of different types of datasets or sensors is necessary. This article explains how the 3D point clouds produced from sensors are used as data input and processed using Bentley ContextCapture software, while testing the performance capability using various inputs. The study was conducted in three cities in Malaysia: Putrajaya, Shah Alam and Johor Bahru. |
| Author Keywords |
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| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000721105100002 |
| WoS Category |
Remote Sensing |
| Research Area |
Remote Sensing |
| PDF |
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