Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Jon P. Mills"'
Autor:
Chukwuma J. Okolie, Jon P. Mills, Adedayo K. Adeleke, Julian L. Smit, Maria V. Peppa, Arif O. Altunel, Ikenna D. Arungwa
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1362-1390 (2024)
Validation studies of global Digital Elevation Models (DEMs) in the existing literature are limited by the diversity and spread of landscapes, terrain types considered and sparseness of groundtruth. Moreover, there are knowledge gaps on the accuracy
Externí odkaz:
https://doaj.org/article/d1eb4938687d4fe688839265f56c8739
Publikováno v:
Resilient Cities and Structures, Vol 2, Iss 2, Pp 24-41 (2023)
Extreme weather conditions can adversely impact transport networks and driver behaviour, leading to variations in traffic volumes and travel times and increased accident rates. Emergency services that need to navigate to an accident site in the short
Externí odkaz:
https://doaj.org/article/8bec2dd191bf44d6acba90005458c3cc
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Cost-effective on-demand computing resources can help to process the increasing number of large, diverse datasets generated from smart internet-enabled technology, such as sensors, CCTV cameras, and mobile devices, with high temporal resolut
Externí odkaz:
https://doaj.org/article/d16fb16ce9064e1d9e46603d336514d7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5597-5608 (2020)
Vehicle speed is a key variable for the calibration, validation, and improvement of traffic emission and air quality models. Lidar technologies have significant potential in vehicle tracking by scanning the surroundings in 3-D frequently, hence can b
Externí odkaz:
https://doaj.org/article/943bf35f10634ce78481491003951623
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2124 (2022)
High-resolution traffic data, comprising trajectories of individual road users, are of great importance to the development of Intelligent Transportation Systems (ITS), in which they can be used for traffic microsimulations and applications such as co
Externí odkaz:
https://doaj.org/article/669581c003824587bfa8ab8be9169f5f
Publikováno v:
Remote Sensing, Vol 6, Iss 5, Pp 4109-4132 (2014)
Segmentation of urban features is considered a major research challenge in the fields of photogrammetry and remote sensing. However, the dense datasets now readily available through airborne laser scanning (ALS) offer increased potential for 3D objec
Externí odkaz:
https://doaj.org/article/17ea33d6013a4baabc72eb79890a0f61
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 9, p 360 (2018)
Despite being of paramount importance to humanity, tangible cultural heritage is often at risk from natural and anthropogenic threats worldwide. As a result, heritage discovery and conservation remain a huge challenge for both developed and developin
Externí odkaz:
https://doaj.org/article/f8c9befb1289438f955cfd0b0daeec5e
Publikováno v:
Proceedings of the Institution of Civil Engineers - Engineering History and Heritage. 176:3-17
This paper presents Image2DEM, a framework for the semi-automated structural analysis of arches. Numerical models of arch specimens were semi-automatically developed from structure-from-motion (SfM) photogrammetry, by employing image-processing techn
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 189:289-301