Zobrazeno 1 - 10
of 6 187
pro vyhledávání: '"X. . m., Li"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1029-1036 (2023)
Obtaining building instance models directly through photogrammetry and other means results in high polygon counts and structural detail levels. Therefore, it is an important challenge to preserve the features of instant building models and generate l
Externí odkaz:
https://doaj.org/article/61a57a4164ce49bab2336f47c61c5b48
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1081-1087 (2023)
In order to reconstruct high-quality 3D tree models, trunks and crowns could be reconstructed using appropriate methods separately and merged together. During this process, gaps will appear after tree models are spliced, which will affect the models'
Externí odkaz:
https://doaj.org/article/53dde159b57b409383339215275db9de
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1677-1684 (2023)
Buildings are an important part of the urban scene. In this paper, a novel instance segmentation framework for 3D mesh models in urban scenes is proposed. Unlike existing works focusing on semantic segmentation of urban scenes, this work focuses on d
Externí odkaz:
https://doaj.org/article/035797a483b1415195d072acca70761c
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1729-1736 (2023)
This paper introduces a novel framework, Tree-GPT, which incorporates Large Language Models (LLMs) into the forestry remote sensing data workflow, thereby enhancing the efficiency of data analysis. Currently, LLMs are unable to extract or comprehend
Externí odkaz:
https://doaj.org/article/b711216680934cff994eaa6efa350bac
Publikováno v:
The Cryosphere, Vol 17, Pp 2829-2849 (2023)
Sea ice leads play an important role in the heat exchange between the ocean and the overlying atmosphere, particularly narrow leads with widths of less than 100 m. We present a method for detecting sea ice leads in the Arctic using high-resolution in
Externí odkaz:
https://doaj.org/article/eb5d86e8d8184c29a410ad8f7616dfc0
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W2-2022, Pp 305-310 (2022)
Indoor navigation, indoor robotics, and other deep applications of interior space can be realized through semantic segmentation of 3D point clouds. We propose a semantic segmentation method for point clouds that uses geometric features of point cloud
Externí odkaz:
https://doaj.org/article/df6918037e1046d390f06201a4edf8ba
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2022, Pp 73-78 (2022)
With the development of deep learning technology, a large number of indoor spatial applications, such as robotics and indoor navigation, have raised higher data requirements for indoor semantic model. However, creating deep learning classifiers requi
Externí odkaz:
https://doaj.org/article/a24dfe8e843d40cbac8349b00cf18f87
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2022, Pp 129-136 (2022)
RGB-D semantic segmentation algorithm is a key technology for indoor semantic map construction. The traditional RGB-D semantic segmentation network, which always suffer from redundant parameters and modules. In this paper, an improved semantic segmen
Externí odkaz:
https://doaj.org/article/60410b5949754605a2421f242846bdba
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2022, Pp 229-235 (2022)
State-of-the-art point cloud classification methods mostly process raw point clouds, using a single point as the basic unit and calculating point cloud features by searching local neighbors via the k-neighborhood method. Such methods tend to be compu
Externí odkaz:
https://doaj.org/article/5a872e6d82614ed89c90022f9efb1aef
Publikováno v:
Advances in Civil Engineering, Vol 2023 (2023)
Understanding the effects of in-situ drying–wetting pattern on the stress-dependent water retention curve of intact loess is vital for addressing geotechnical problems in loess regions. The principal objective of this study is to investigate the in
Externí odkaz:
https://doaj.org/article/94d6f3dc7f924ace90fd90468d824626