3D GEOMETRIC EXTRACTION USING SEGMENTATION FOR ASSET MANAGEMENT
| Autor: | Zulkepli Majid, S. Azri, M. González Cuétara, G. De Miguel Retortillo, A. A. M. Nasir, Uznir Ujang, S. F. K. Anuar |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
lcsh:Applied optics. Photonics 010504 meteorology & atmospheric sciences business.industry Computer science Process (engineering) lcsh:T Point cloud lcsh:TA1501-1820 02 engineering and technology Asset (computer security) Object (computer science) 01 natural sciences Data science lcsh:Technology lcsh:TA1-2040 Urbanization Smart city 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Asset management Segmentation business lcsh:Engineering (General). Civil engineering (General) 0105 earth and related environmental sciences |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-4-W3-2020, Pp 61-69 (2020) |
| ISSN: | 2194-9034 1682-1750 |
| Popis: | In recent years, there has been an increase in development of urbanization in the world. Nowadays, all communities in the world are concerned about current technological developments especially in terms of development and management that can facilitate their daily life. In urbanization, smart city is one of modernization changes that improves the infrastructure management, convenience and efficient for the life of citizens. Moreover, 3D asset management is one of the approach of smart city development. Asset management using the 3D concept has been witnessing a welcoming approach due to its high efficiency in organising multiple assets. 3D geometric extraction offers a perfect aid in recording information of an asset such as buildings. The model is derived from the reality techniques where the exterior surfaces of an object are captured in high resolution through the means of special equipment such as airborne imagery. From here, point clouds are generated where the sets of points based on the external surfaces of an object are present. Pre-processing of point clouds should be done in order to perform the 3D modelling. In dealing with point clouds, segmentations are used to investigate the structure of the object with information regarding to different level of sections. The boon behind this segmentation process is to identify different features that is available for the object. In this research, the aim is to analyse the different methodology and algorithm available to segment the point cloud data. Comparison between the results will be made to identify the advantages and disadvantages of the results for the use of asset management. |
| Databáze: | OpenAIRE |
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