Deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the Arctic
Introduction. This paper studies depressed construction sites and their presence on the territory of Arctic. Application of earth remote sensing technologies from space is indispensable for providing sub-satellite monitoring to identify emergency, damaged and abandoned construction objects in hard-t...
Published in: | Vestnik MGSU |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English Russian |
Published: |
Moscow State University of Civil Engineering (MGSU)
2023
|
Subjects: | |
Online Access: | https://doi.org/10.22227/1997-0935.2023.12.1937-1956 https://doaj.org/article/9ff7aa4c43ed41f3aa29f31bd911ed70 |
id |
ftdoajarticles:oai:doaj.org/article:9ff7aa4c43ed41f3aa29f31bd911ed70 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:9ff7aa4c43ed41f3aa29f31bd911ed70 2024-09-09T19:20:01+00:00 Deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the Arctic M. L. Kazaryan A. A. Richter M. A. Shakhramanyan S. M. Grigoriev 2023-12-01T00:00:00Z https://doi.org/10.22227/1997-0935.2023.12.1937-1956 https://doaj.org/article/9ff7aa4c43ed41f3aa29f31bd911ed70 EN RU eng rus Moscow State University of Civil Engineering (MGSU) https://www.vestnikmgsu.ru/jour/article/view/134 https://doaj.org/toc/1997-0935 https://doaj.org/toc/2304-6600 1997-0935 2304-6600 doi:10.22227/1997-0935.2023.12.1937-1956 https://doaj.org/article/9ff7aa4c43ed41f3aa29f31bd911ed70 Vestnik MGSU, Vol 18, Iss 12, Pp 1937-1956 (2023) building object emergency construction destroyed object abandoned building 3-d model recognition decoding satellite image space monitoring semantic segmentation arctic Architecture NA1-9428 Construction industry HD9715-9717.5 article 2023 ftdoajarticles https://doi.org/10.22227/1997-0935.2023.12.1937-1956 2024-08-05T17:49:17Z Introduction. This paper studies depressed construction sites and their presence on the territory of Arctic. Application of earth remote sensing technologies from space is indispensable for providing sub-satellite monitoring to identify emergency, damaged and abandoned construction objects in hard-to-reach regions. The purpose of the study is the possibility of deciphering depressed construction objects according to aerospace monitoring data. For the Arctic territories remote methods are relevant because of unfavorable meteorological conditions of contact methods, as well as because of the depressed nature of most settlements. Depressed construction sites are one of the main features of the surveyed territories. In the world practice, there are certain methods for deciphering depressed structures. These are hierarchical deep learning method based on Google Street View images, information modelling of historical buildings, photogrammetry using UAVs, 3D shooting.Materials and methods. The research is carried out on the basis of satellite images of high spatial resolution, depicting territories with different lighting conditions, landscape and component composition of the Arctic surface. The subject of the research is a complex method of visual decoding of depressed construction objects.Results. The areas and signs of deciphering, the relevance of deciphering of these objects in the Arctic region are presented. Examples of emergency and abandoned objects and their deciphering signs on satellite, ground and aerial photographs are given. The ecological aspect of depressed construction objects associated with the production of landfills and certain mechanisms of behavior in relation to land use is shown.Conclusions. The methods of interpretation of depressed construction objects based on aerospace monitoring data considered in the paper allow to carry out their cadastral registration, mapping and systematization, to estimate quantitative and qualitative characteristics of these objects and depressiveness of the ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Vestnik MGSU 18 12 1937 1956 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English Russian |
topic |
building object emergency construction destroyed object abandoned building 3-d model recognition decoding satellite image space monitoring semantic segmentation arctic Architecture NA1-9428 Construction industry HD9715-9717.5 |
spellingShingle |
building object emergency construction destroyed object abandoned building 3-d model recognition decoding satellite image space monitoring semantic segmentation arctic Architecture NA1-9428 Construction industry HD9715-9717.5 M. L. Kazaryan A. A. Richter M. A. Shakhramanyan S. M. Grigoriev Deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the Arctic |
topic_facet |
building object emergency construction destroyed object abandoned building 3-d model recognition decoding satellite image space monitoring semantic segmentation arctic Architecture NA1-9428 Construction industry HD9715-9717.5 |
description |
Introduction. This paper studies depressed construction sites and their presence on the territory of Arctic. Application of earth remote sensing technologies from space is indispensable for providing sub-satellite monitoring to identify emergency, damaged and abandoned construction objects in hard-to-reach regions. The purpose of the study is the possibility of deciphering depressed construction objects according to aerospace monitoring data. For the Arctic territories remote methods are relevant because of unfavorable meteorological conditions of contact methods, as well as because of the depressed nature of most settlements. Depressed construction sites are one of the main features of the surveyed territories. In the world practice, there are certain methods for deciphering depressed structures. These are hierarchical deep learning method based on Google Street View images, information modelling of historical buildings, photogrammetry using UAVs, 3D shooting.Materials and methods. The research is carried out on the basis of satellite images of high spatial resolution, depicting territories with different lighting conditions, landscape and component composition of the Arctic surface. The subject of the research is a complex method of visual decoding of depressed construction objects.Results. The areas and signs of deciphering, the relevance of deciphering of these objects in the Arctic region are presented. Examples of emergency and abandoned objects and their deciphering signs on satellite, ground and aerial photographs are given. The ecological aspect of depressed construction objects associated with the production of landfills and certain mechanisms of behavior in relation to land use is shown.Conclusions. The methods of interpretation of depressed construction objects based on aerospace monitoring data considered in the paper allow to carry out their cadastral registration, mapping and systematization, to estimate quantitative and qualitative characteristics of these objects and depressiveness of the ... |
format |
Article in Journal/Newspaper |
author |
M. L. Kazaryan A. A. Richter M. A. Shakhramanyan S. M. Grigoriev |
author_facet |
M. L. Kazaryan A. A. Richter M. A. Shakhramanyan S. M. Grigoriev |
author_sort |
M. L. Kazaryan |
title |
Deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the Arctic |
title_short |
Deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the Arctic |
title_full |
Deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the Arctic |
title_fullStr |
Deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the Arctic |
title_full_unstemmed |
Deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the Arctic |
title_sort |
deciphering of emergency construction objects using satellite imagery and sub-satellite monitoring data in the arctic |
publisher |
Moscow State University of Civil Engineering (MGSU) |
publishDate |
2023 |
url |
https://doi.org/10.22227/1997-0935.2023.12.1937-1956 https://doaj.org/article/9ff7aa4c43ed41f3aa29f31bd911ed70 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Vestnik MGSU, Vol 18, Iss 12, Pp 1937-1956 (2023) |
op_relation |
https://www.vestnikmgsu.ru/jour/article/view/134 https://doaj.org/toc/1997-0935 https://doaj.org/toc/2304-6600 1997-0935 2304-6600 doi:10.22227/1997-0935.2023.12.1937-1956 https://doaj.org/article/9ff7aa4c43ed41f3aa29f31bd911ed70 |
op_doi |
https://doi.org/10.22227/1997-0935.2023.12.1937-1956 |
container_title |
Vestnik MGSU |
container_volume |
18 |
container_issue |
12 |
container_start_page |
1937 |
op_container_end_page |
1956 |
_version_ |
1809760114047975424 |