Zobrazeno 1 - 10
of 8 477
pro vyhledávání: '"Point Clouds"'
Publikováno v:
International Journal of Food Properties, Vol 27, Iss 1, Pp 566-583 (2024)
Remote sensing in agriculture aims to search new methods to monitor fruit at the tree, thus improving the estimation of yield-related variables. Light detection and range (LiDAR) scanning was introduced to obtain geometric and radiometric information
Externí odkaz:
https://doaj.org/article/669dc06a689c41ec9e85cbc961649b57
Publikováno v:
Heritage, Vol 7, Iss 10, Pp 5521-5546 (2024)
Remote Sensing (RS) and Geographic Information Science (GIS) techniques are powerful tools for spatial data collection, analysis, management, and digitization within cultural heritage frameworks. Despite their capabilities, challenges remain in autom
Externí odkaz:
https://doaj.org/article/f30a710143e246efbc747cf1f0bf4dfb
Publikováno v:
Engineering, Construction and Architectural Management, 2023, Vol. 31, Issue 9, pp. 3557-3574.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-12-2022-1196
Autor:
Gouda Mohamed, Ahmed, Mousa, Amr
Publikováno v:
Journal of Facilities Management, 2022, Vol. 22, Issue 4, pp. 548-563.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JFM-01-2022-0001
Autor:
Alfonso Ramírez-Pedraza, Sebastián Salazar-Colores, Juan Terven, Julio-Alejandro Romero-González, José-Joel González-Barbosa, Diana-Margarita Córdova-Esparza
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 3474-3493 (2024)
In traditional farming, fertilizers are often used without precision, resulting in unnecessary expenses and potential damage to the environment. This study introduces a new method for accurately identifying macronutrient deficiencies in Rhodena lettu
Externí odkaz:
https://doaj.org/article/aec39d039fc44d628d8efdb71072e4fe
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 24, Iss 3, Pp 3-12 (2024)
Automatic 3D reconstruction of indoor scenes remains a challenging task due to the incomplete and noisy nature of scanned data. We propose a semantic-guided method for reconstructing indoor scene based on semantic segmentation of point clouds. Firs
Externí odkaz:
https://doaj.org/article/ede26495acf94a67972e16acd34e4ed1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract High-precision step feature lines play a crucial role in open-pit mine design, production scheduling, mining volume calculations, road network planning, and slope maintenance. Compared with the feature lines of the geometric model, step feat
Externí odkaz:
https://doaj.org/article/622ec78f3eb64bf5a59a299733b27cc1
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-20 (2024)
Abstract Semantic segmentation of point cloud data of architectural cultural heritage is of significant importance for HBIM modeling, disease extraction and analysis, and heritage restoration research fields. In the semantic segmentation task of arch
Externí odkaz:
https://doaj.org/article/5919bfe62c794798be727f16b7e73ff9
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1035-1070 (2024)
LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around them, and adding additional attributes to each point such as color, position, time, etc. LiDAR datasets are usually large, and compressed data formats (e.g. LAZ)
Externí odkaz:
https://doaj.org/article/62661d6aad584bae89617f88efa6dc44
Publikováno v:
Graphical Models, Vol 136, Iss , Pp 101234- (2024)
Modelling objects at a large resolution or scale brings challenges in the storage and processing of data and requires efficient structures. In the context of modelling urban environments, we face both issues: 3D data from acquisition extends at geogr
Externí odkaz:
https://doaj.org/article/f9639f0685ea4866b8e2e9d8f52b7068