Zobrazeno 1 - 10
of 470
pro vyhledávání: '"W. Ostrowski"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W3-2023, Pp 227-234 (2023)
Benchmarking is an essential tool for scientific and technological progress. This article reviews the benchmarks for 3D point cloud segmentation and classification. Based on the analysis of the articles and the knowledge gathered, it can be concluded
Externí odkaz:
https://doaj.org/article/2ba3f48c98274d958204e3016a1c26ac
Autor:
K. Bakuła, A. Lejzerowicz, M. Pilarska-Mazurek, W. Ostrowski, J. Górka, P. Biernat, P. Czernic, K. Załęgowski, K. Kleszczewska, K. Węzka, M. Gąsiewski, H. Dmowski, N. Styś
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2022, Pp 167-172 (2022)
The article aims to analyse the possibilities of GPR, LiDAR, and photogrammetric sensors integration in a specific application, considering the various combination of sensor and their parameters. This text also discusses the possibility of using LiDA
Externí odkaz:
https://doaj.org/article/4524add635c64bc385c9a9158439672e
SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2022, Pp 485-491 (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 to conduc
Externí odkaz:
https://doaj.org/article/005163df081b411193bc938f353af436
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2022, Pp 657-663 (2022)
At the time of continuous development of all technologies, deep machine learning (more precisely, convolutional neural networks), which is one of the branches of artificial intelligence (AI), has found wide application in many fields, including photo
Externí odkaz:
https://doaj.org/article/2434386ec2ac43d58f00d0f8007d79d8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 191-198 (2020)
Orthophotos are one of the most popular photogrammetric products and have been a leading source of up-to-date 2D data of urban areas for years. In the last few years, together with innovations in the area of Dense Image Matching, Digital Surface Mode
Externí odkaz:
https://doaj.org/article/8f950146373c416eb2867154c1e4d114
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 21-26 (2020)
This article presents the results of studies related to the impact of flight altitude of UAV equipped with lidar data on geometric and radiometric information. Experiments were conducted in two test areas by performing UAV test flight missions at dif
Externí odkaz:
https://doaj.org/article/955c2a26c17a4745aa7f150754c14d32
Autor:
M. Pilarska, W. Ostrowski
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 1097-1103 (2019)
Airborne laser scanning (ALS) plays an important role in spatial data acquisition. One of the advantages of this technique is laser beam penetration through vegetation, which makes it possible to not only obtain data on the tree canopy but also withi
Externí odkaz:
https://doaj.org/article/76a7226fadad40ce965c288fd85b2a45
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 189-195 (2019)
Unmanned Aerial Vehicles (UAVs) are willingly used in photogrammetry and remote sensing, especially for image acquisition, and are characterised by high spatial resolution. UAVs can be used for the fast and, if necessary, frequent acquisition of spat
Externí odkaz:
https://doaj.org/article/f05932ac163342ec986fe7edd5463b8d
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W9, Pp 261-267 (2019)
Immersive technologies like Virtual or Augmented Reality (VR/AR) are lately becoming more and more popular in wide range of scientific applications. These technologies provide the most immersive way to present spatial data such as point clouds or 3D
Externí odkaz:
https://doaj.org/article/a82af02c80a34d48a4432639ecedcd8e
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 25-32 (2018)
In this paper, a mobile mapping system mounted on the UAV is presented and evaluated. The NEO3 UAV platform is an 11 kg fixed-wing designed by the MSP company. The UAV is equipped with a Riegl miniVUX-1UAV laser scanner, which is integrated with th
Externí odkaz:
https://doaj.org/article/8edb1c8ea5e4497d9335c7431a6c7bcd