Zobrazeno 1 - 10
of 130
pro vyhledávání: '"M. Saadatseresht"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 143-150 (2023)
In recent years, as the use of Unmanned Aerial Vehicle (UAV) imaging systems has increased, the photogrammetry community has conducted extensive research on the unique advantages of these systems. The UAVs are considered as one of the most important
Externí odkaz:
https://doaj.org/article/899a0b6c2ac44bb3bd542651251b5d6c
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 171-177 (2023)
Accurate and automatic building footprint extraction from single UAV images has become essential in many photogrammetry and remote sensing applications such as 3D building modeling, smart city, monitoring, disaster management, and urban planning. In
Externí odkaz:
https://doaj.org/article/a2674f7381d54c34890ca65b4257ff10
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 279-286 (2023)
This article presents an automated and effective framework for segmentation and classification of airborne laser scanning (ALS) point clouds obtained from LiDAR-UAV sensors in urban areas. Segmentation and classification are among the main processes
Externí odkaz:
https://doaj.org/article/c9f489b79e3e42d6ab60f276fe383690
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 417-422 (2023)
Classification is an essential step for architectural historians for better understanding and typology of cultural heritage. This research aims to automatically cluster geometric ornaments of the Ilkhanid period in Iran through using machine learning
Externí odkaz:
https://doaj.org/article/86cd76714bb645cfb5f4c7486d669e64
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 537-543 (2023)
Today, three-dimensional reconstruction of objects has many applications in various fields, and therefore, choosing a suitable method for high resolution three-dimensional reconstruction is an important issue and displaying high-level details in thre
Externí odkaz:
https://doaj.org/article/47eb3e54f6c04b7b868d6b6b2343c50d
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 523-530 (2023)
The Mobile Laser Scanner (MLS) system is one of the most accurate and fastest data acquisition systems for indoor and outdoor environments mapping. Today, to use this system in an indoor environment where it is impossible to capture GNSS data, Simult
Externí odkaz:
https://doaj.org/article/0b56131fab534985a5ae48e6c0729fb4
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 581-588 (2023)
Installing targets and measuring them as ground control points (GCPs) are time consuming and cost inefficient tasks in a UAV photogrammetry project. This research aims to automatically extract GCPs from 3D LiDAR mobile mapping system (L-MMS) measurem
Externí odkaz:
https://doaj.org/article/64628f6c9f8b40cd9819ca3d844990b6
Autor:
F. S. Mortazavi, M. Saadatseresht
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W2-2022, Pp 85-93 (2022)
Nowadays, three-dimensional reconstruction is used in various fields like computer vision, computer graphics, mixed reality and digital twin. The three- dimensional reconstruction of cultural heritage objects is one of the most important applications
Externí odkaz:
https://doaj.org/article/0a30b6531fd84eb699e1e6f75007cc30
Autor:
S. A. Fakhri, M. Saadatseresht
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 371-377 (2019)
Crack is one of the main problems of roads that can reduce the quality of the road or put it in danger in terms of safety. These cracks are needed to be identified first in order to be investigated and followed up. So detecting cracks is one of the m
Externí odkaz:
https://doaj.org/article/3816f5b767ba49c88842168515927efd
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 461-465 (2019)
Point cloud classification is an essential requirement for effectively utilizing point cloud data acquired by different kind of sources such as Terrestrial Laser Scanning (TLS), Aerial LiDAR (Light Detection and Ranging), and Photogrammetry. Classifi
Externí odkaz:
https://doaj.org/article/2a0253bf18994820a3f5d9a18d2b9cb7