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...

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Published in:Vestnik MGSU
Main Authors: M. L. Kazaryan, A. A. Richter, M. A. Shakhramanyan, S. M. Grigoriev
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
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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
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