Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Zahra Gharineiat"'
Autor:
Yalda Mousavi, Zahra Gharineiat, Armin Agha Karimi, Kevin McDougall, Adriana Rossi, Sara Gonizzi Barsanti
Publikováno v:
Smart Cities, Vol 7, Iss 5, Pp 2594-2615 (2024)
Digital Twin (DT) technology is a pivotal innovation within the built environment industry, facilitating digital transformation through advanced data integration and analytics. DTs have demonstrated significant benefits in building design, constructi
Externí odkaz:
https://doaj.org/article/e331562f04e74f7cb6d05e643b56a3ef
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3010-3022 (2024)
Tree modeling and visualization still represent a challenge in the light detecting and ranging area. Starting from the segmented tree point clouds, this article presents an innovative tree modeling and visualization approach. The algorithm simulates
Externí odkaz:
https://doaj.org/article/e7426a76260e465c91afd058ae967af2
Autor:
Zahra Gharineiat, Fayez Tarsha Kurdi, Krish Henny, Hamish Gray, Aaron Jamieson, Nicholas Reeves
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3256 (2024)
The Simultaneous Localization and Mapping (SLAM) scanner is an easy and portable Light Detection and Ranging (LiDAR) data acquisition device. Its main output is a 3D point cloud covering the scanned scene. Regarding the importance of accuracy in the
Externí odkaz:
https://doaj.org/article/720539dbd27545faa7b5a8c130f3954c
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2220 (2024)
This paper introduces a novel method for accurately calculating the upper biomass of single trees using Light Detection and Ranging (LiDAR) point cloud data. The proposed algorithm involves classifying the tree point cloud into two distinct ones: the
Externí odkaz:
https://doaj.org/article/69c8f8dc094f49369c056cf6e2496ed1
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 6, p 180 (2024)
Flooding, exacerbated by climate change, poses a significant threat to certain areas, increasing in frequency and severity. In response, the construction of supplementary dams has emerged as a reliable solution for flood management. This study employ
Externí odkaz:
https://doaj.org/article/6c8e958dff344bffb814901136da13dc
Publikováno v:
Sensors, Vol 23, Iss 17, p 7360 (2023)
The use of a Machine Learning (ML) classification algorithm to classify airborne urban Light Detection And Ranging (LiDAR) point clouds into main classes such as buildings, terrain, and vegetation has been widely accepted. This paper assesses two str
Externí odkaz:
https://doaj.org/article/1528edc5ecbd450aa5246b3055e7d6a3
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3324 (2023)
The development of autonomous navigation systems requires digital building models at the LoD3 level. Buildings with atypically shaped features, such as turrets, domes, and chimneys, should be selected as landmark objects in these systems. The aim of
Externí odkaz:
https://doaj.org/article/f908215cbf4c43409e7c419aaac38362
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 240 (2022)
Unmanned Aerial Vehicles (UAVs) or drones have found a wide range of useful applications in society over the past few years, but there has also been a growth in the use of UAVs for malicious purposes. One way to manage this issue is to allow reportin
Externí odkaz:
https://doaj.org/article/0d0734d6d78c46eea39919f67ad61dd3
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4687 (2022)
This paper presents an innovative approach to the automatic modeling of buildings composed of rotational surfaces, based exclusively on airborne LiDAR point clouds. The proposed approach starts by detecting the gravity center of the building’s foot
Externí odkaz:
https://doaj.org/article/aac6fdee6a484baeb9684b633334c54a
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4685 (2022)
Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have provided promising results and thus this topic has been widely addressed in the literature during the last few years. This paper reviews the essential and the more re
Externí odkaz:
https://doaj.org/article/a6ab8ad524b347d0b9330251ce74fe22