Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Mohammad Saadatseresht"'
Autor:
Mehdi Maboudi, MohammadReza Homaei, Soohwan Song, Shirin Malihi, Mohammad Saadatseresht, Markus Gerke
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5026-5048 (2023)
Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors for various applications. The reason for this success can be found in many aspects: the high maneuverability of the UAVs, the capability of performing autonomou
Externí odkaz:
https://doaj.org/article/9f758cba039c484c92336a66e96804ea
Autor:
Mehrdad Eslami, Mohammad Saadatseresht
Publikováno v:
Canadian Journal of Remote Sensing, Vol 46, Iss 3, Pp 295-312 (2020)
Today, both point cloud and imagery datasets processed for mapping aims. The precise fusion of both datasets is a major issue that leads to the fine registration problem. This article proposes a fine registration method based on a novel concept of ti
Externí odkaz:
https://doaj.org/article/4be70692d8ca4885a8e8afe8127839fd
Autor:
Mehrdad Eslami, Mohammad Saadatseresht
Publikováno v:
Sensors, Vol 21, Iss 1, p 317 (2021)
Cameras and laser scanners are complementary tools for a 2D/3D information generation. Systematic and random errors cause the misalignment of the multi-sensor imagery and point cloud data. In this paper, a novel feature-based approach is proposed for
Externí odkaz:
https://doaj.org/article/a8b722a6f4084b60ace13fa77ddeee11
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 1, p 25 (2019)
The high cost of land across urban areas has made the excavation a typical practice to construct multiple underground stories. Various methods have been used to restrain the excavated walls and keep them from a possible collapse, including nailing an
Externí odkaz:
https://doaj.org/article/ec411fda5da04eb6b2abba4287ac066c
Publikováno v:
Sensors, Vol 13, Iss 9, Pp 12030-12043 (2013)
The Rational Function Model (RFM) has been widely used as an alternative to rigorous sensor models of high-resolution optical imagery in photogrammetry and remote sensing geometric processing. However, not much work has been done to evaluate the appl
Externí odkaz:
https://doaj.org/article/33a263b789cd48fb93b432be83bdb039
Autor:
Ahmad Hadavand, Mehdi Mokhtarzadeh, Mohammad Javad Valadan Zoej, Saeid Homayouni, Mohammad Saadatseresht
Publikováno v:
Geodesy and Cartography, Vol 42, Iss 3 (2016)
Object-based image analysis methods have been developed recently. They have since become a very active research topic in the remote sensing community. This is mainly because the researchers have begun to study the spatial structures within the data.
Externí odkaz:
https://doaj.org/article/d64ea8fa95d94772815f7f8d553ffd31
Publikováno v:
Sensors, Vol 11, Iss 9, Pp 8721-8740 (2011)
Time-of-flight cameras, based on Photonic Mixer Device (PMD) technology, are capable of measuring distances to objects at high frame rates, however, the measured ranges and the intensity data contain systematic errors that need to be corrected. In th
Externí odkaz:
https://doaj.org/article/d3de0228b2a240f08d53e001dff46261
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 88:583-591
Ground-point filtering from point-cloud data is an important process in remote sensing and the photogrammetric map-production line, especially in generating digital elevation models from airborne lidar and aerial photogrammetric point-cloud data. In
Publikováno v:
The Photogrammetric Record. 36:402-424
Autor:
Mehdi Maboudi, MohammadReza Homaei, Soohwan Song, Shirin Malihi, Mohammad Saadatseresht, Markus Gerke
Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors for various applications. The reason for this success can be found in many aspects: the high maneuverability of the UAVs, the capability of performing autonomou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9996a4de19c09661bac73e23c1a434d1
http://arxiv.org/abs/2205.03716
http://arxiv.org/abs/2205.03716