MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION
The paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentation rather than through a simple square window. Since PCNN segmentation agrees with the human visual s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/961/2018/isprs-archives-XLII-3-961-2018.pdf |
| _version_ | 1811200882330566656 |
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| author | X. J. Li X. J. Li H. W. Yan H. W. Yan S. W. Yang S. W. Yang L. Kang L. Kang X. M. Lu X. M. Lu |
| author_facet | X. J. Li X. J. Li H. W. Yan H. W. Yan S. W. Yang S. W. Yang L. Kang L. Kang X. M. Lu X. M. Lu |
| author_sort | X. J. Li |
| collection | DOAJ |
| description | The paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentation rather than through a simple square window. Since PCNN segmentation agrees with the human visual system, the proposed method shows better spectral consistency. Our experiments, which have been carried out for both suburban and urban datasets, demonstrate that the proposed method outperforms other methods in multispectral pansharpening. |
| first_indexed | 2024-04-12T02:12:24Z |
| format | Article |
| id | doaj.art-5b1593aa26b04fec80a7d13add084b05 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-12T02:12:24Z |
| publishDate | 2018-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-5b1593aa26b04fec80a7d13add084b052022-12-22T03:52:22ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-04-01XLII-396196510.5194/isprs-archives-XLII-3-961-2018MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATIONX. J. Li0X. J. Li1H. W. Yan2H. W. Yan3S. W. Yang4S. W. Yang5L. Kang6L. Kang7X. M. Lu8X. M. Lu9Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaGansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaGansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaGansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaGansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaGansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, ChinaThe paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentation rather than through a simple square window. Since PCNN segmentation agrees with the human visual system, the proposed method shows better spectral consistency. Our experiments, which have been carried out for both suburban and urban datasets, demonstrate that the proposed method outperforms other methods in multispectral pansharpening.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/961/2018/isprs-archives-XLII-3-961-2018.pdf |
| spellingShingle | X. J. Li X. J. Li H. W. Yan H. W. Yan S. W. Yang S. W. Yang L. Kang L. Kang X. M. Lu X. M. Lu MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION |
| title_full | MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION |
| title_fullStr | MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION |
| title_full_unstemmed | MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION |
| title_short | MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION |
| title_sort | multispectral pansharpening approach using pulse coupled neural network segmentation |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/961/2018/isprs-archives-XLII-3-961-2018.pdf |
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