An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images
Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework:...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shen, Huanfeng [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on geoscience and remote sensing - New York, NY : IEEE, 1964, 54(2016), 12, Seite 7135-7148 |
|---|---|
| Übergeordnetes Werk: |
volume:54 ; year:2016 ; number:12 ; pages:7135-7148 |
| Links: |
|---|
| DOI / URN: |
10.1109/TGRS.2016.2596290 |
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| Katalog-ID: |
OLC1987671015 |
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| 520 | |a Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio-spectral fusion, and spatio-temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Système Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method. | ||
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10.1109/TGRS.2016.2596290 doi PQ20170501 (DE-627)OLC1987671015 (DE-599)GBVOLC1987671015 (PRQ)c1546-a2fbfdbb9c52aba05f8314189560db0abce0efe60986d76afbafbc0b586cb4b40 (KEY)0048677920160000054001207135integratedframeworkforthespatiotemporalspectralfus DE-627 ger DE-627 rakwb eng 620 550 DNB Shen, Huanfeng verfasserin aut An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio-spectral fusion, and spatio-temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Système Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method. temporal resolution Sensors integrated framework Image sensors Spatial resolution Remote sensing spectral resolution Image fusion Satellites Image processing Research Satellite imaging Meng, Xiangchao oth Zhang, Liangpei oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 7135-7148 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:7135-7148 http://dx.doi.org/10.1109/TGRS.2016.2596290 Volltext http://ieeexplore.ieee.org/document/7560877 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 7135-7148 |
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10.1109/TGRS.2016.2596290 doi PQ20170501 (DE-627)OLC1987671015 (DE-599)GBVOLC1987671015 (PRQ)c1546-a2fbfdbb9c52aba05f8314189560db0abce0efe60986d76afbafbc0b586cb4b40 (KEY)0048677920160000054001207135integratedframeworkforthespatiotemporalspectralfus DE-627 ger DE-627 rakwb eng 620 550 DNB Shen, Huanfeng verfasserin aut An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio-spectral fusion, and spatio-temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Système Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method. temporal resolution Sensors integrated framework Image sensors Spatial resolution Remote sensing spectral resolution Image fusion Satellites Image processing Research Satellite imaging Meng, Xiangchao oth Zhang, Liangpei oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 7135-7148 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:7135-7148 http://dx.doi.org/10.1109/TGRS.2016.2596290 Volltext http://ieeexplore.ieee.org/document/7560877 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 7135-7148 |
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10.1109/TGRS.2016.2596290 doi PQ20170501 (DE-627)OLC1987671015 (DE-599)GBVOLC1987671015 (PRQ)c1546-a2fbfdbb9c52aba05f8314189560db0abce0efe60986d76afbafbc0b586cb4b40 (KEY)0048677920160000054001207135integratedframeworkforthespatiotemporalspectralfus DE-627 ger DE-627 rakwb eng 620 550 DNB Shen, Huanfeng verfasserin aut An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio-spectral fusion, and spatio-temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Système Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method. temporal resolution Sensors integrated framework Image sensors Spatial resolution Remote sensing spectral resolution Image fusion Satellites Image processing Research Satellite imaging Meng, Xiangchao oth Zhang, Liangpei oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 7135-7148 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:7135-7148 http://dx.doi.org/10.1109/TGRS.2016.2596290 Volltext http://ieeexplore.ieee.org/document/7560877 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 7135-7148 |
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10.1109/TGRS.2016.2596290 doi PQ20170501 (DE-627)OLC1987671015 (DE-599)GBVOLC1987671015 (PRQ)c1546-a2fbfdbb9c52aba05f8314189560db0abce0efe60986d76afbafbc0b586cb4b40 (KEY)0048677920160000054001207135integratedframeworkforthespatiotemporalspectralfus DE-627 ger DE-627 rakwb eng 620 550 DNB Shen, Huanfeng verfasserin aut An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio-spectral fusion, and spatio-temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Système Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method. temporal resolution Sensors integrated framework Image sensors Spatial resolution Remote sensing spectral resolution Image fusion Satellites Image processing Research Satellite imaging Meng, Xiangchao oth Zhang, Liangpei oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 7135-7148 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:7135-7148 http://dx.doi.org/10.1109/TGRS.2016.2596290 Volltext http://ieeexplore.ieee.org/document/7560877 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 7135-7148 |
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An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images |
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An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images |
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integrated framework for the spatio-temporal-spectral fusion of remote sensing images |
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An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images |
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Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio-spectral fusion, and spatio-temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Système Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method. |
| abstractGer |
Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio-spectral fusion, and spatio-temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Système Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method. |
| abstract_unstemmed |
Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and spectral resolutions. In this paper, we propose an integrated framework for the spatio-temporal-spectral fusion of remote sensing images. There are two main advantages of the proposed integrated fusion framework: it can accomplish different kinds of fusion tasks, such as multiview spatial fusion, spatio-spectral fusion, and spatio-temporal fusion, based on a single unified model, and it can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors. The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and Système Pour l' Observation de la Terre-5 (SPOT-5). The experimental results confirm the effectiveness of the proposed method. |
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An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images |
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