Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation model
Accurate and unified information from the increasingly remote sensing (RS) scenes is important for RS applications in multi-sectoral association services of natural resource management. However, these applications in mountain areas are limited by the challenging issues of random geometric distortion...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10106049.2023.2190624 |
| _version_ | 1811153888907100160 |
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| author | Yanxia Wang Ye Jiangxia Chen Chuan Ruliang Zhou |
| author_facet | Yanxia Wang Ye Jiangxia Chen Chuan Ruliang Zhou |
| author_sort | Yanxia Wang |
| collection | DOAJ |
| description | Accurate and unified information from the increasingly remote sensing (RS) scenes is important for RS applications in multi-sectoral association services of natural resource management. However, these applications in mountain areas are limited by the challenging issues of random geometric distortions and erroneous spatial associations. The paper introduces digital elevation model (DEM) maps as a unified geographic reference to search and match homonymy ground points (HGPs). The proposed computer-based procedure was tested with Landsat TM, ETM and HJ-1B satellite images using ASTER global DEM in the Longitudinal Rang-gorge Valley Region of Southwest China. 1322, 3551 and 694 pairs of HGPs were identified and acquired the geometric accuracies with 43 m (TM), 14 m (ETM) and 123 m (HJ), respectively. The deviations are significantly reduced and the disjoint ground objects are matched. The study satisfies the application requirement of multispectral satellite imagery with less labour and time costs. |
| first_indexed | 2024-03-11T23:46:50Z |
| format | Article |
| id | doaj.art-2eeca743a11f4664b69660d31bfc477b |
| institution | Directory Open Access Journal |
| issn | 1010-6049 1752-0762 |
| language | English |
| last_indexed | 2024-03-11T23:46:50Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj.art-2eeca743a11f4664b69660d31bfc477b2023-09-19T09:13:18ZengTaylor & Francis GroupGeocarto International1010-60491752-07622023-12-0138110.1080/10106049.2023.21906242190624Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation modelYanxia Wang0Ye Jiangxia1Chen Chuan2Ruliang Zhou3School of Geography and Ecotourism, Southwest Forestry UniversityForestry School, Southwest Forestry UniversitySchool of Geography and Ecotourism, Southwest Forestry UniversitySchool of Geography and Ecotourism, Southwest Forestry UniversityAccurate and unified information from the increasingly remote sensing (RS) scenes is important for RS applications in multi-sectoral association services of natural resource management. However, these applications in mountain areas are limited by the challenging issues of random geometric distortions and erroneous spatial associations. The paper introduces digital elevation model (DEM) maps as a unified geographic reference to search and match homonymy ground points (HGPs). The proposed computer-based procedure was tested with Landsat TM, ETM and HJ-1B satellite images using ASTER global DEM in the Longitudinal Rang-gorge Valley Region of Southwest China. 1322, 3551 and 694 pairs of HGPs were identified and acquired the geometric accuracies with 43 m (TM), 14 m (ETM) and 123 m (HJ), respectively. The deviations are significantly reduced and the disjoint ground objects are matched. The study satisfies the application requirement of multispectral satellite imagery with less labour and time costs.http://dx.doi.org/10.1080/10106049.2023.2190624digital elevation modelremote sensing imageterrain feature linesground control pointsgeometric precise correction |
| spellingShingle | Yanxia Wang Ye Jiangxia Chen Chuan Ruliang Zhou Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation model Geocarto International digital elevation model remote sensing image terrain feature lines ground control points geometric precise correction |
| title | Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation model |
| title_full | Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation model |
| title_fullStr | Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation model |
| title_full_unstemmed | Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation model |
| title_short | Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation model |
| title_sort | automated geometric precise correction of medium remote sensing images based on aster global digital elevation model |
| topic | digital elevation model remote sensing image terrain feature lines ground control points geometric precise correction |
| url | http://dx.doi.org/10.1080/10106049.2023.2190624 |
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