Zobrazeno 1 - 10
of 293
pro vyhledávání: '"Murtiyoso, A."'
Autor:
M. Balestra, C. Cabo, A. Murtiyoso, A. Vitali, F. Alvarez-Taboada, A. Cantero-Amiano, R. Bolaños, D. Laino, R. Pierdicca
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W8-2024, Pp 9-15 (2024)
In the context of forest inventory, there is a growing need for 3D data to produce detailed geometric information. While terrestrial laser scanning (TLS) is traditionally used for this purpose , several factors have prompted the exploration of altern
Externí odkaz:
https://doaj.org/article/f30f7ba4de784d1ca87a5444eb8c20e8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W8-2024, Pp 163-168 (2024)
Recent advancements in Virtual Reality (VR) technology have extended its applications beyond entertainment, offering promising tools for professional fields such as 3D data annotation. This paper explores the use of VR for labelling 3D point clouds i
Externí odkaz:
https://doaj.org/article/a1bcf8a9ea474f3ab88d66675e582e48
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W8-2024, Pp 343-348 (2024)
In recent years, novel 3D reconstruction methods have been developed to enhance traditional image-based point cloud generation techniques, leading, among other things, to the emergence of the concept of virtual forests. However, within the forestry d
Externí odkaz:
https://doaj.org/article/ddbd06e5b117483486e2e27b8eb4893a
Autor:
A. Ambarwari, D. Suwardhi, M. S. Rani, E. Husni, D. W. Junaidy, F. A. Agirachman, A. Murtiyoso, V. C. Griess
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 7-12 (2024)
3D city models are an important cornerstone in the development of digital twin cities, allowing for various analyses and simulations. CityGML, as an open standard for 3D city models, emphasizes five main aspects: scale or level of detail (LoD), seman
Externí odkaz:
https://doaj.org/article/91561a7e82144859b4864ecc55b2a0e1
Autor:
Cyprien R. Fol, Nianfang Shi, Normand Overney, Arnadi Murtiyoso, Fabio Remondino, Verena C. Griess
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
While forest biodiversity faces a concerning decline, modern technology presents promising avenues for mitigation. However, a critical gap persists in reconciling ecological knowledge with the technical expertise required to use state-of-the-art tech
Externí odkaz:
https://doaj.org/article/7821ce1f2b6b414aa845a7699f23ce19
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W4-2024, Pp 317-323 (2024)
In recent years novel 3D reconstruction methods have been developed to improve the conventional image-based point cloud generation techniques. These novel methods generally attempt to address various challenges encountered in conventional methods, na
Externí odkaz:
https://doaj.org/article/07cc34debdfe4c14b99d1705ae96aee4
Autor:
Hristina Hristova, Arnadi Murtiyoso, Daniel Kukenbrink, Mauro Marty, Meinrad Abegg, Christoph Fischer, Verena C. Griess, Nataliia Rehush
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17612-17625 (2024)
Understanding and monitoring the surrounding environment increasingly rely on its 3-D representations. However, the often high costs of 3-D data equipment limit its wide usage, and low-cost solutions are in demand. Here, we propose a novel approach b
Externí odkaz:
https://doaj.org/article/c1cdfec2bb2141b38945a46e7ab995f9
Autor:
Qureshi, Abdul Hannan, Alaloul, Wesam Salah, Murtiyoso, Arnadi, Hussain, Syed Jawad, Saad, Syed, Musarat, Muhammad Ali
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part A
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1439-1444 (2023)
The mapping of slum areas is an important task when considering the necessity for an inclusive, safe and resilient cities. While many methods exist in this regard, the use of machine learning and more specifically deep learning has gained traction in
Externí odkaz:
https://doaj.org/article/f5a3089cb44542c088d725a4ec82ec7c
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1723-1728 (2023)
This contribution addresses, on one hand, the increasing need and demand of 3D data (e.g., point clouds) in urban forestry – for monitoring, analysis, and visualisation purposes –, on the other, the lack of standardised procedures to manage them,
Externí odkaz:
https://doaj.org/article/dee1b809be7c417da32b3efb72f94737