An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain Fusion
The Glimmer Imager of Urbanization (GIU) on SDGSAT-1 provides high-resolution and global-coverage images of night-time lights (NLs) with 10 m panchromatic (PAN) and 40 m multispectral (MS) imagery. High-resolution 10 m MS NL images after ideal fusion can be used to better study subtle manifestations...
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MDPI AG
2024-11-01
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| Online Access: | https://www.mdpi.com/2072-4292/16/22/4298 |
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| author | Kedong Li Bo Cheng Xiaoming Li Xiaoping Zhang Guizhou Wang Jie Gao Qinxue He Yaocan Gan |
| author_facet | Kedong Li Bo Cheng Xiaoming Li Xiaoping Zhang Guizhou Wang Jie Gao Qinxue He Yaocan Gan |
| author_sort | Kedong Li |
| collection | DOAJ |
| description | The Glimmer Imager of Urbanization (GIU) on SDGSAT-1 provides high-resolution and global-coverage images of night-time lights (NLs) with 10 m panchromatic (PAN) and 40 m multispectral (MS) imagery. High-resolution 10 m MS NL images after ideal fusion can be used to better study subtle manifestations of human activities. Most existing remote sensing image-fusion methods are based on the fusion of daytime optical remote sensing images, which do not apply to lossless compressed images of the GIU. To address this limitation, we propose a novel approach for 10 m NL data fusion, namely, a GIU NL image fusion model based on PAN-optimized OIS (OIS) and DDF (DDF) fusion for SDGSAT-1 high-resolution products. The OIS of PAN refers to the optimized stretching method that integrates linear and gamma stretching while DDF indicates a fusion process that separately merges the dark and light regions of NL images using different fusion methods, then stitches them together. In this study, fusion experiments were conducted in four study areas—Beijing, Shanghai, Moscow, and New York—and the proposed method was compared to traditional methods using visual evaluation and five quantitative evaluation metrics. The results demonstrate that the proposed method achieves superior visual quality and outperforms conventional methods across all quantitative metrics. Additionally, the ablation study confirmed the necessity of the methodological steps employed in this study. |
| format | Article |
| id | doaj-art-66b8d41f1ef9494693f314fb48ea82a2 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-66b8d41f1ef9494693f314fb48ea82a22025-08-20T02:04:56ZengMDPI AGRemote Sensing2072-42922024-11-011622429810.3390/rs16224298An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain FusionKedong Li0Bo Cheng1Xiaoming Li2Xiaoping Zhang3Guizhou Wang4Jie Gao5Qinxue He6Yaocan Gan7Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaKey Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang 571399, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaThe Glimmer Imager of Urbanization (GIU) on SDGSAT-1 provides high-resolution and global-coverage images of night-time lights (NLs) with 10 m panchromatic (PAN) and 40 m multispectral (MS) imagery. High-resolution 10 m MS NL images after ideal fusion can be used to better study subtle manifestations of human activities. Most existing remote sensing image-fusion methods are based on the fusion of daytime optical remote sensing images, which do not apply to lossless compressed images of the GIU. To address this limitation, we propose a novel approach for 10 m NL data fusion, namely, a GIU NL image fusion model based on PAN-optimized OIS (OIS) and DDF (DDF) fusion for SDGSAT-1 high-resolution products. The OIS of PAN refers to the optimized stretching method that integrates linear and gamma stretching while DDF indicates a fusion process that separately merges the dark and light regions of NL images using different fusion methods, then stitches them together. In this study, fusion experiments were conducted in four study areas—Beijing, Shanghai, Moscow, and New York—and the proposed method was compared to traditional methods using visual evaluation and five quantitative evaluation metrics. The results demonstrate that the proposed method achieves superior visual quality and outperforms conventional methods across all quantitative metrics. Additionally, the ablation study confirmed the necessity of the methodological steps employed in this study.https://www.mdpi.com/2072-4292/16/22/4298night-time lightimage fusionSDGSAT-1 |
| spellingShingle | Kedong Li Bo Cheng Xiaoming Li Xiaoping Zhang Guizhou Wang Jie Gao Qinxue He Yaocan Gan An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain Fusion Remote Sensing night-time light image fusion SDGSAT-1 |
| title | An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain Fusion |
| title_full | An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain Fusion |
| title_fullStr | An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain Fusion |
| title_full_unstemmed | An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain Fusion |
| title_short | An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain Fusion |
| title_sort | image fusion algorithm for sustainable development goals satellite 1 night time light images based on optimized image stretching and dual domain fusion |
| topic | night-time light image fusion SDGSAT-1 |
| url | https://www.mdpi.com/2072-4292/16/22/4298 |
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