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(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
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(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 100 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 100 | Ministry scored journals list 2024 |
| 2023 | 100 | Ministry Scored Journals List |
| 2022 | 100 | Ministry Scored Journals List 2019-2022 |
| 2021 | 100 | Ministry Scored Journals List 2019-2022 |
| 2020 | 100 | Ministry Scored Journals List 2019-2022 |
| 2019 | 100 | Ministry Scored Journals List 2019-2022 |
| 2018 | 25 | A |
| 2017 | 25 | A |
| 2016 | 25 | A |
| 2015 | 25 | A |
| 2014 | 25 | A |
| 2013 | 20 | A |
| 2012 | 25 | A |
| 2011 | 25 | A |
| 2010 | 20 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 5 |
| Year | Points |
|---|---|
| 2023 | 5 |
| 2022 | 3.9 |
| 2021 | 3.6 |
| 2020 | 4.1 |
| 2019 | 4.9 |
| 2018 | 3.8 |
| 2017 | 3.5 |
| 2016 | 3.1 |
| 2015 | 3.3 |
| 2014 | 2.8 |
| 2013 | 2.2 |
| 2012 | 1.7 |
| 2011 | 2.2 |
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Papers published in journal
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total: 3
Catalog Journals
Year 2021
-
Integration of Multi-Source Geospatial Data from GNSS Receivers, Terrestrial Laser Scanners, and Unmanned Aerial Vehicles
Publication -
Integration of Multi-Source Geospatial Data from GNSS Receivers, Terrestrial Laser Scanners, and Unmanned Aerial Vehicles
PublicationThe analysis based on geospatial data from different measurement systems now constitutes a complex numerical and practical enterprise. The dynamic development of modern technologies enables rapid and precise acquisition of such data. Nonetheless, the diversity of reference systems is today one of the main challenges for their correct interpretation. The combined use of the processed measurement results and archival data in paper...
Year 2011
-
Optimization algorithm and filtration using the adaptive TIN model at the stage of initial processing of the ALS point cloud
PublicationAirborne laser scanning (ALS) provides survey results in the form of a point cloud. The ALS point cloud is a source of data used primarily for constructing a digital terrain model (DTM). To generate a DTM, the set of ALS observations must be first subjected to the point cloud processing methodology. A standard methodology is composed of the following stages: acquisition of the ALS data, initial processing (including filtration),...
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