Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4

Feng Li; Lei Xin; Yi Guo; Xiuping Jia

doi:10.1109/IGARSS.2018.8517414

Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4

Feng Li, Lei Xin, Yi Guo, Xiuping Jia

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

Gaofen-4 is the first optical geostationary satellite in China and it is in operation since 2016. Unfortunately, the mid-infrared band has a Ground Spatial Distance (GSD) of 400 m, which is low and limits its application in temperature retrieval. The calibration of this band is challenging as well. In this paper, a new data fusion method is proposed to improve both image quality and spatial resolution, by making use the advantage of high temporal resolution. Experimental results show that the reconstructed high resolution mid-infrared images not only provide more details visually but also gives more accurate and reliable temperature mapping than the original images. The proposed solution holds potential application for Gaofen-4 in the near future.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018): Observing, Understanding and Forecasting the Dynamics of our Planet, 22-27 July, 2018, Valencia, Spain
Publisher	IEEE
Pages	7038-7041
Number of pages	4
ISBN (Print)	9781538671504
DOIs	https://doi.org/10.1109/IGARSS.2018.8517414
Publication status	Published - 2018
Event	International Geoscience and Remote Sensing Symposium - Duration: 28 Jul 2019 → …

Conference

Conference	International Geoscience and Remote Sensing Symposium
Period	28/07/19 → …

Keywords

high resolution imaging
remote sensing
satellites

Access to Document

10.1109/IGARSS.2018.8517414

Cite this

Li, F., Xin, L., Guo, Y., & Jia, X. (2018). Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4. In Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018): Observing, Understanding and Forecasting the Dynamics of our Planet, 22-27 July, 2018, Valencia, Spain (pp. 7038-7041). IEEE. https://doi.org/10.1109/IGARSS.2018.8517414

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title = "Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4",

abstract = "Gaofen-4 is the first optical geostationary satellite in China and it is in operation since 2016. Unfortunately, the mid-infrared band has a Ground Spatial Distance (GSD) of 400 m, which is low and limits its application in temperature retrieval. The calibration of this band is challenging as well. In this paper, a new data fusion method is proposed to improve both image quality and spatial resolution, by making use the advantage of high temporal resolution. Experimental results show that the reconstructed high resolution mid-infrared images not only provide more details visually but also gives more accurate and reliable temperature mapping than the original images. The proposed solution holds potential application for Gaofen-4 in the near future.",

keywords = "high resolution imaging, remote sensing, satellites",

author = "Feng Li and Lei Xin and Yi Guo and Xiuping Jia",

year = "2018",

doi = "10.1109/IGARSS.2018.8517414",

language = "English",

isbn = "9781538671504",

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booktitle = "Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018): Observing, Understanding and Forecasting the Dynamics of our Planet, 22-27 July, 2018, Valencia, Spain",

publisher = "IEEE",

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Li, F, Xin, L, Guo, Y & Jia, X 2018, Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4. in Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018): Observing, Understanding and Forecasting the Dynamics of our Planet, 22-27 July, 2018, Valencia, Spain. IEEE, pp. 7038-7041, International Geoscience and Remote Sensing Symposium, 28/07/19. https://doi.org/10.1109/IGARSS.2018.8517414

Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4. / Li, Feng; Xin, Lei; Guo, Yi et al.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018): Observing, Understanding and Forecasting the Dynamics of our Planet, 22-27 July, 2018, Valencia, Spain. IEEE, 2018. p. 7038-7041.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AU - Guo, Yi

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N2 - Gaofen-4 is the first optical geostationary satellite in China and it is in operation since 2016. Unfortunately, the mid-infrared band has a Ground Spatial Distance (GSD) of 400 m, which is low and limits its application in temperature retrieval. The calibration of this band is challenging as well. In this paper, a new data fusion method is proposed to improve both image quality and spatial resolution, by making use the advantage of high temporal resolution. Experimental results show that the reconstructed high resolution mid-infrared images not only provide more details visually but also gives more accurate and reliable temperature mapping than the original images. The proposed solution holds potential application for Gaofen-4 in the near future.

AB - Gaofen-4 is the first optical geostationary satellite in China and it is in operation since 2016. Unfortunately, the mid-infrared band has a Ground Spatial Distance (GSD) of 400 m, which is low and limits its application in temperature retrieval. The calibration of this band is challenging as well. In this paper, a new data fusion method is proposed to improve both image quality and spatial resolution, by making use the advantage of high temporal resolution. Experimental results show that the reconstructed high resolution mid-infrared images not only provide more details visually but also gives more accurate and reliable temperature mapping than the original images. The proposed solution holds potential application for Gaofen-4 in the near future.

KW - high resolution imaging

KW - remote sensing

KW - satellites

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BT - Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018): Observing, Understanding and Forecasting the Dynamics of our Planet, 22-27 July, 2018, Valencia, Spain

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Li F, Xin L, Guo Y, Jia X. Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4. In Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018): Observing, Understanding and Forecasting the Dynamics of our Planet, 22-27 July, 2018, Valencia, Spain. IEEE. 2018. p. 7038-7041 doi: 10.1109/IGARSS.2018.8517414

Multitemporal mid-infrared imagery based calibration and super resolution for Gaofen-4

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