Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey

In order to improve the data quality of land use remote sensing monitoring images, this article introduces the process of generating satellite image data, elaborates on the content of satellite image data verification in land use remote sensing monitoring, and proposes quality issues and improvement...

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書誌詳細
出版年:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
主要な著者: S. Dong, C. Lu, W. Gao, C. Liu, J. Bai
フォーマット: 論文
言語:英語
出版事項: Copernicus Publications 2024-05-01
オンライン・アクセス:https://isprs-archives.copernicus.org/articles/XLVIII-1-2024/129/2024/isprs-archives-XLVIII-1-2024-129-2024.pdf
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author S. Dong
S. Dong
C. Lu
C. Lu
W. Gao
W. Gao
C. Liu
C. Liu
J. Bai
J. Bai
author_facet S. Dong
S. Dong
C. Lu
C. Lu
W. Gao
W. Gao
C. Liu
C. Liu
J. Bai
J. Bai
author_sort S. Dong
collection DOAJ
container_title The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
description In order to improve the data quality of land use remote sensing monitoring images, this article introduces the process of generating satellite image data, elaborates on the content of satellite image data verification in land use remote sensing monitoring, and proposes quality issues and improvement measures for satellite image data. Taking the discovered satellite image data quality issues as an example, compared with quality inspection standards, it was found that the main problems in the results were projection parameter errors, image color distortion, image blurring, and position accuracy exceeding limits. It is recommended to check the above issues during the image production stage, analyze the reasons for exceeding the position accuracy limit, image distortion, and embossing, and provide relevant suggestions. Provided strong technical support for land use surveys.
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spelling doaj-art-c3067d303ecd42e4b3f15e1c838d2d592025-08-20T00:18:29ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-05-01XLVIII-1-202412913410.5194/isprs-archives-XLVIII-1-2024-129-2024Quality Inspection and Problem Analysis of Satellite Image Data in Land Use SurveyS. Dong0S. Dong1C. Lu2C. Lu3W. Gao4W. Gao5C. Liu6C. Liu7J. Bai8J. Bai9National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, ChinaThe Technology lnnovation Center for Remote Sensing intelligent Verification, Ministry of Natural Resources, Beijing, ChinaNational Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, ChinaThe Technology lnnovation Center for Remote Sensing intelligent Verification, Ministry of Natural Resources, Beijing, ChinaNational Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, ChinaThe Technology lnnovation Center for Remote Sensing intelligent Verification, Ministry of Natural Resources, Beijing, ChinaNational Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, ChinaThe Technology lnnovation Center for Remote Sensing intelligent Verification, Ministry of Natural Resources, Beijing, ChinaNational Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, ChinaThe Technology lnnovation Center for Remote Sensing intelligent Verification, Ministry of Natural Resources, Beijing, ChinaIn order to improve the data quality of land use remote sensing monitoring images, this article introduces the process of generating satellite image data, elaborates on the content of satellite image data verification in land use remote sensing monitoring, and proposes quality issues and improvement measures for satellite image data. Taking the discovered satellite image data quality issues as an example, compared with quality inspection standards, it was found that the main problems in the results were projection parameter errors, image color distortion, image blurring, and position accuracy exceeding limits. It is recommended to check the above issues during the image production stage, analyze the reasons for exceeding the position accuracy limit, image distortion, and embossing, and provide relevant suggestions. Provided strong technical support for land use surveys.https://isprs-archives.copernicus.org/articles/XLVIII-1-2024/129/2024/isprs-archives-XLVIII-1-2024-129-2024.pdf
spellingShingle S. Dong
S. Dong
C. Lu
C. Lu
W. Gao
W. Gao
C. Liu
C. Liu
J. Bai
J. Bai
Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey
title Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey
title_full Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey
title_fullStr Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey
title_full_unstemmed Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey
title_short Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey
title_sort quality inspection and problem analysis of satellite image data in land use survey
url https://isprs-archives.copernicus.org/articles/XLVIII-1-2024/129/2024/isprs-archives-XLVIII-1-2024-129-2024.pdf
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