Zobrazeno 1 - 10
of 29
pro vyhledávání: '"I. A. Musliman"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W11-2024, Pp 97-102 (2024)
Semantic segmentation of 3D urban environments plays an important role in urban planning, management, and analysis. This paper presents an exploration of leveraging BuildingGNN, a deep learning framework for semantic segmentation of 3D building model
Externí odkaz:
https://doaj.org/article/61ea0a4fd0a446c3924ff8e892685ae3
Autor:
A. Abdul Rahman, M. I. Hassan, I. A. Musliman, H. Rashidan, W. M. Mutiarasari, A. Zamzuri, G. Buyuksalih, C. Gazioglu, I. Bayirhan
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 1-6 (2024)
The current scenario of understanding spatial objects with regards to land and marine environment seems lacking. Inevitably, the scenario in line with the global warming issues as being highly mentioned by world-bodies such as the United Nations (UN)
Externí odkaz:
https://doaj.org/article/1be171fde7334735a4248879edd6df2e
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 45-51 (2024)
Understanding and analyzing complex spatial objects involves the integration of surface, terrain, and subsurface data into 3D spatial models. However, describing and efficiently analyzing the connections between these data model is particularly chall
Externí odkaz:
https://doaj.org/article/d8c52eafb0c24edf8747c86b973fd492
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 307-311 (2024)
Understanding building semantics is crucial for comprehending their structure, components, and functions. This study investigates the utilization of Graph Neural Networks (GNN) to semantically label 3D building models, aiming to optimize these labels
Externí odkaz:
https://doaj.org/article/a510e749fae14a83a818b01449c4a55a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 3-7 (2022)
Water uses need to be measured, which is critical for evaluating water stress. The Industry 4.0 via the Internet of Things (IoT) and usage of water measurement sensor can provide real-time information on the water flow rate and water pressure, that i
Externí odkaz:
https://doaj.org/article/f5a2da2bde7d46ae8319f04a59ee2096
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 39-43 (2022)
Bursa-Wolf model is a common mathematical approach for coordinate transformation practice between two reference frames. For the case of deforming region, the existing reference frame has been experiencing a non-linear shifting over the time due to co
Externí odkaz:
https://doaj.org/article/ca61b30817dc4447ba169299275a1dff
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 223-227 (2022)
Once the unknown integer ambiguity values are resolved, the GPS carrier phase observation will be transformed into a millimeter-level precision measurement. However, GPS observation are prone to a variety of errors, making it a biased measurement. Th
Externí odkaz:
https://doaj.org/article/2bc5e468913c48adb4f53b872a7b4280
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 281-286 (2022)
3D city models are increasingly being used to represent the complexity of today’s urban areas, as they aid in understanding how different aspects of a city can function. For instance, several municipalities and governmental organisations have const
Externí odkaz:
https://doaj.org/article/604d616d218d4d8d941cf3d71f74eb8b
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 295-304 (2022)
The expansion of data collection from remote sensing and other geographic data sources, as well as from other technology such as cloud, sensors, mobile, and social media, have made mapping and analysis more complex. Some geospatial applications conti
Externí odkaz:
https://doaj.org/article/65fb52518a5b4ff381a73774ab91bdeb
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 287-293 (2022)
Geographic information system (GIS) is known traditionally for the modelling of two-dimensional (2D) geospatial analysis and therefore present information about the extensive spatial framework. On the other hand, building information modelling (BIM)
Externí odkaz:
https://doaj.org/article/5c4477bae8ce4466b8b18e7691fdfe11