AN INVESTIGATION OF SUPER-RESOLUTION FOR CROSS-DOMAIN BUILDING EXTRACTION USING TRANSFORMER
The density of buildings is an important index to reflect the productivity and prosperity of an economic entity. Automatically monitoring the change and development of buildings through satellite can not only benefit the assessment of the status of urban development but also contribute to suburban c...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2023-12-01
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://isprs-annals.copernicus.org/articles/X-1-W1-2023/153/2023/isprs-annals-X-1-W1-2023-153-2023.pdf |
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author | W. Yue X. Zhao |
author_facet | W. Yue X. Zhao |
author_sort | W. Yue |
collection | DOAJ |
description | The density of buildings is an important index to reflect the productivity and prosperity of an economic entity. Automatically monitoring the change and development of buildings through satellite can not only benefit the assessment of the status of urban development but also contribute to suburban construction planning. Apparently, more accurate building extraction performance can be guaranteed with higher-resolution remote sensing images. However, the desired high-resolution images are not always available limited by the remote sensing imaging technology and the expensive cost of updating the sensors and equipment. Therefore, the super-resolution technology, which aims at restoring the high-resolution images from the given low-resolution images, is a promising solution to resolve the dilemma. Therefore, in this paper, we investigate the potential application of super-resolution technology for cross-domain building extraction. The experiment results demonstrate that super-resolution can indeed improve building extraction accuracy. |
first_indexed | 2024-03-09T02:43:03Z |
format | Article |
id | doaj.art-2ca6cfcb51ec44c3957bc445d9c2692f |
institution | Directory Open Access Journal |
issn | 2194-9042 2194-9050 |
language | English |
last_indexed | 2024-03-09T02:43:03Z |
publishDate | 2023-12-01 |
publisher | Copernicus Publications |
record_format | Article |
series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-2ca6cfcb51ec44c3957bc445d9c2692f2023-12-05T23:35:17ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502023-12-01X-1-W1-202315315810.5194/isprs-annals-X-1-W1-2023-153-2023AN INVESTIGATION OF SUPER-RESOLUTION FOR CROSS-DOMAIN BUILDING EXTRACTION USING TRANSFORMERW. Yue0X. Zhao1Intelligent Control & Smart Energy (ICSE) Research Group, School of Engineering, University of Warwick, Coventry, CV4 7AL, U.K.Intelligent Control & Smart Energy (ICSE) Research Group, School of Engineering, University of Warwick, Coventry, CV4 7AL, U.K.The density of buildings is an important index to reflect the productivity and prosperity of an economic entity. Automatically monitoring the change and development of buildings through satellite can not only benefit the assessment of the status of urban development but also contribute to suburban construction planning. Apparently, more accurate building extraction performance can be guaranteed with higher-resolution remote sensing images. However, the desired high-resolution images are not always available limited by the remote sensing imaging technology and the expensive cost of updating the sensors and equipment. Therefore, the super-resolution technology, which aims at restoring the high-resolution images from the given low-resolution images, is a promising solution to resolve the dilemma. Therefore, in this paper, we investigate the potential application of super-resolution technology for cross-domain building extraction. The experiment results demonstrate that super-resolution can indeed improve building extraction accuracy.https://isprs-annals.copernicus.org/articles/X-1-W1-2023/153/2023/isprs-annals-X-1-W1-2023-153-2023.pdf |
spellingShingle | W. Yue X. Zhao AN INVESTIGATION OF SUPER-RESOLUTION FOR CROSS-DOMAIN BUILDING EXTRACTION USING TRANSFORMER ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | AN INVESTIGATION OF SUPER-RESOLUTION FOR CROSS-DOMAIN BUILDING EXTRACTION USING TRANSFORMER |
title_full | AN INVESTIGATION OF SUPER-RESOLUTION FOR CROSS-DOMAIN BUILDING EXTRACTION USING TRANSFORMER |
title_fullStr | AN INVESTIGATION OF SUPER-RESOLUTION FOR CROSS-DOMAIN BUILDING EXTRACTION USING TRANSFORMER |
title_full_unstemmed | AN INVESTIGATION OF SUPER-RESOLUTION FOR CROSS-DOMAIN BUILDING EXTRACTION USING TRANSFORMER |
title_short | AN INVESTIGATION OF SUPER-RESOLUTION FOR CROSS-DOMAIN BUILDING EXTRACTION USING TRANSFORMER |
title_sort | investigation of super resolution for cross domain building extraction using transformer |
url | https://isprs-annals.copernicus.org/articles/X-1-W1-2023/153/2023/isprs-annals-X-1-W1-2023-153-2023.pdf |
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