Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam
This study explores pan-sharpening techniques to enhance the spatial resolution of Landsat 8-9 optical imagery and dual-polarized (VV/VH) SAR data for improved urban land cover classification. Mediumto low-resolution satellite images often pose challenges in accurately delineating specific urban fea...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/26/e3sconf_eier2025_01005.pdf |
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| author | Ha Tran Phuong Ha Tuan Cuong |
| author_facet | Ha Tran Phuong Ha Tuan Cuong |
| author_sort | Ha Tran Phuong |
| collection | DOAJ |
| description | This study explores pan-sharpening techniques to enhance the spatial resolution of Landsat 8-9 optical imagery and dual-polarized (VV/VH) SAR data for improved urban land cover classification. Mediumto low-resolution satellite images often pose challenges in accurately delineating specific urban features. Sentinel-1 SAR data provides critical surface parameters such as moisture and conductivity through backscatter analysis, while optical imagery captures spectral reflectance essential for land cover discrimination. By integrating SAR and optical datasets, the fused imagery benefits from both spectral richness and enhanced spatial detail. This research evaluates the performance of Gram-Schmidt (GS) and Principal Component Analysis (PCA) fusion methods in combining Sentinel-1 SAR and Landsat 8-9 imagery for urban land cover mapping in Ho Chi Minh City (2024). The Structural Similarity Index (SSIM) and bias analysis confirm that the fusion process effectively retains spectral integrity while enhancing spatial resolution to 10m, thereby improving the identification of surface features in urban environments. |
| format | Article |
| id | doaj-art-7a46d85e8bfd4263874d93714f93edb3 |
| institution | OA Journals |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-7a46d85e8bfd4263874d93714f93edb32025-08-20T02:26:02ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016260100510.1051/e3sconf/202562601005e3sconf_eier2025_01005Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, VietnamHa Tran Phuong0Ha Tuan Cuong1Institute of Applied Mechanics and Informatics, Vietnam Academy of Science and TechnologySouthern Sub-Institute of Forest Inventory and PlanningThis study explores pan-sharpening techniques to enhance the spatial resolution of Landsat 8-9 optical imagery and dual-polarized (VV/VH) SAR data for improved urban land cover classification. Mediumto low-resolution satellite images often pose challenges in accurately delineating specific urban features. Sentinel-1 SAR data provides critical surface parameters such as moisture and conductivity through backscatter analysis, while optical imagery captures spectral reflectance essential for land cover discrimination. By integrating SAR and optical datasets, the fused imagery benefits from both spectral richness and enhanced spatial detail. This research evaluates the performance of Gram-Schmidt (GS) and Principal Component Analysis (PCA) fusion methods in combining Sentinel-1 SAR and Landsat 8-9 imagery for urban land cover mapping in Ho Chi Minh City (2024). The Structural Similarity Index (SSIM) and bias analysis confirm that the fusion process effectively retains spectral integrity while enhancing spatial resolution to 10m, thereby improving the identification of surface features in urban environments.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/26/e3sconf_eier2025_01005.pdf |
| spellingShingle | Ha Tran Phuong Ha Tuan Cuong Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam E3S Web of Conferences |
| title | Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam |
| title_full | Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam |
| title_fullStr | Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam |
| title_full_unstemmed | Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam |
| title_short | Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam |
| title_sort | multi source fusion algorithms for satellite image resolution enhancement in urban land cover mapping of ho chi minh city vietnam |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/26/e3sconf_eier2025_01005.pdf |
| work_keys_str_mv | AT hatranphuong multisourcefusionalgorithmsforsatelliteimageresolutionenhancementinurbanlandcovermappingofhochiminhcityvietnam AT hatuancuong multisourcefusionalgorithmsforsatelliteimageresolutionenhancementinurbanlandcovermappingofhochiminhcityvietnam |