Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition
Ratio transformation methods are widely used for image fusion of high-resolution optical satellites. The premise for the use the ratio transformation is that there is a zero-bias linear relationship between the panchromatic band and the corresponding multi-spectral bands. However, there are bias ter...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/11/2619 |
| _version_ | 1811303554093154304 |
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| author | Luxiao He Mi Wang Ying Zhu Xueli Chang Xiaoxiao Feng |
| author_facet | Luxiao He Mi Wang Ying Zhu Xueli Chang Xiaoxiao Feng |
| author_sort | Luxiao He |
| collection | DOAJ |
| description | Ratio transformation methods are widely used for image fusion of high-resolution optical satellites. The premise for the use the ratio transformation is that there is a zero-bias linear relationship between the panchromatic band and the corresponding multi-spectral bands. However, there are bias terms and residual terms with large values in reality, depending on the sensors, the response spectral ranges, and the land-cover types. To address this problem, this paper proposes a panchromatic and multi-spectral image fusion method based on the panchromatic spectral decomposition (PSD). The low-resolution panchromatic and multi-spectral images are used to solve the proportionality coefficients, the bias coefficients, and the residual matrixes. These coefficients are substituted into the high-resolution panchromatic band and decompose it into the high-resolution multi-spectral bands. The experiments show that this method can make the fused image acquire high color fidelity and sharpness, it is robust to different sensors and features, and it can be applied to the panchromatic and multi-spectral fusion of high-resolution optical satellites. |
| first_indexed | 2024-04-13T07:50:12Z |
| format | Article |
| id | doaj.art-3f8ed83674c04353b4524fc739ade324 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:50:12Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3f8ed83674c04353b4524fc739ade3242022-12-22T02:55:33ZengMDPI AGSensors1424-82202019-06-011911261910.3390/s19112619s19112619Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral DecompositionLuxiao He0Mi Wang1Ying Zhu2Xueli Chang3Xiaoxiao Feng4State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, ChinaCollaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, ChinaRatio transformation methods are widely used for image fusion of high-resolution optical satellites. The premise for the use the ratio transformation is that there is a zero-bias linear relationship between the panchromatic band and the corresponding multi-spectral bands. However, there are bias terms and residual terms with large values in reality, depending on the sensors, the response spectral ranges, and the land-cover types. To address this problem, this paper proposes a panchromatic and multi-spectral image fusion method based on the panchromatic spectral decomposition (PSD). The low-resolution panchromatic and multi-spectral images are used to solve the proportionality coefficients, the bias coefficients, and the residual matrixes. These coefficients are substituted into the high-resolution panchromatic band and decompose it into the high-resolution multi-spectral bands. The experiments show that this method can make the fused image acquire high color fidelity and sharpness, it is robust to different sensors and features, and it can be applied to the panchromatic and multi-spectral fusion of high-resolution optical satellites.https://www.mdpi.com/1424-8220/19/11/2619ratio transformationpanchromatic spectral decompositionpanchromatic and multi-spectral fusionhigh-resolution optical satellites |
| spellingShingle | Luxiao He Mi Wang Ying Zhu Xueli Chang Xiaoxiao Feng Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition Sensors ratio transformation panchromatic spectral decomposition panchromatic and multi-spectral fusion high-resolution optical satellites |
| title | Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition |
| title_full | Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition |
| title_fullStr | Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition |
| title_full_unstemmed | Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition |
| title_short | Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition |
| title_sort | image fusion for high resolution optical satellites based on panchromatic spectral decomposition |
| topic | ratio transformation panchromatic spectral decomposition panchromatic and multi-spectral fusion high-resolution optical satellites |
| url | https://www.mdpi.com/1424-8220/19/11/2619 |
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