Home »
Academic Articles & Research Papers
Showing 9 of 29 academic articles
S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2013)
Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the
form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprsarchives-XL-4-W4-63-2013
V. Longhi, A. Martino, A. M. Lingua, P. F. Maschio et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2024)
Globalisation has contributed to rapid economic growth but has also exposed vulnerabilities such as the spread of pests in agriculture. An example is the Popillia Japonica Newman beetle, introduced to Italy in 2014, which has caused signifi...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLVIII-1-2024-443-2024
G. Sezen, M. Cakir, M. E. Atik, Z. Duran • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2022)
Detecting building façade elements is a crucial problem in computer vision for image interpretation. In Building Information Modeling (BIM) studies, the detection of building façade elements has an important role. BIM is a tool that allows ...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLIII-B4-2022-315-2022
Musaddiq Al Ali, Masatoshi Shimoda, Marc Naguib • Applied Sciences
(2024)
This study explores the integration of computer vision with topology optimization for additive manufacturing, with a focus on maximizing eigenfrequency in a design domain. Utilizing custom-developed photogrammetry software, high-resolution ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14156786
Klemen Istenič, Nuno Gracias, Aurélien Arnaubec, Javier Escartín et al. • Remote Sensing
(2019)
Rapid developments in the field of underwater photogrammetry have given scientists the ability to produce accurate 3-dimensional (3D) models which are now increasingly used in the representation and study of local areas of interest. This pa...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs11182093
E. Nocerino, F. Lago, D. Morabito, F. Remondino et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2017)
During the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional
content is starting to become commonplace now in many applications. Although for many years 3D technologies have b...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLII-2-W3-535-2017
Richard I. Hartley, Andrew Zisserman • Cambridge University Press eBooks
(2004)
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geome...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511811685
J. W. Njoroge, M. Koeva, M. Farnaghi, D. Petrova-Antonova et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2026)
Digital twins are increasingly used in smart buildings to monitor energy use. This requires reliable sensor data, geospatial information, and semantically rich 3D building geometry. However, building sensor data often has inconsistent sampl...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-annals-XII-4-W1-2026-251-2026
Ł. Wilk, Ł. Wilk, D. Mielczarek, W. Ostrowski et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2022)
The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLIII-B2-2022-485-2022