Image Navigation for FY-4A Lightning Mapping Imager
Navigation of images from lightning mapping instruments in geostationary orbits is very important for data applications. However, few scientific peer-reviewed papers have been reported, except a few works in the prelaunch tests. On December 11, 2016, China launched the three-axis stabilized geostati...
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Format: | Article |
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IEEE
2021-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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Online Access: | https://ieeexplore.ieee.org/document/9601240/ |
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author | Jing Wang Xiaochong Tong Lei Yang Jian Shang Chengbao Liu Shulong Bao Zhiqing Zhang Jun Yang |
author_facet | Jing Wang Xiaochong Tong Lei Yang Jian Shang Chengbao Liu Shulong Bao Zhiqing Zhang Jun Yang |
author_sort | Jing Wang |
collection | DOAJ |
description | Navigation of images from lightning mapping instruments in geostationary orbits is very important for data applications. However, few scientific peer-reviewed papers have been reported, except a few works in the prelaunch tests. On December 11, 2016, China launched the three-axis stabilized geostationary meteorological satellite Fengyun-4A (FY-4A), which carries a lightning mapping imager (LMI) onboard. LMI is now providing lightning observations above the equator at 104.7˚E and covers a large portion of the eastern Asian continent. In this article, a new method has been set up to perform the image navigation for FY-4A/LMI. First, landmarks were used to calculate thermal deformation parameters and edge-binding technique was proposed to solve the inconsistency between the two tubes’ pointing directions. Second, temperatures of the mounting plate were used to be correlated with the daytime thermal deformation parameters to deduce the nighttime pointing directions when the landmarks were not available. Furthermore, the operational timetable for LMI was determined by analyzing the variations of navigation accuracy caused by the landmark observation interval and the sensor's integration time for landmarks. Analysis of about 9200 background images of 153 consecutive days from the housekeeping data were investigated to validate the proposed methods’ accuracy for LMI image navigation. Compared to the baseline algorithm, navigation accuracy has been improved on average from 2–10 pixels to 1 pixel. The FY-4A/LMI navigation system has been put into operation since May 1, 2018, which has been in normal service ever since. |
first_indexed | 2024-12-20T07:15:46Z |
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institution | Directory Open Access Journal |
issn | 2151-1535 |
language | English |
last_indexed | 2024-12-20T07:15:46Z |
publishDate | 2021-01-01 |
publisher | IEEE |
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series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
spelling | doaj.art-5ac1a2e46d1644e1a63629678b7a00d82022-12-21T19:48:48ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-0114114501146510.1109/JSTARS.2021.31249559601240Image Navigation for FY-4A Lightning Mapping ImagerJing Wang0https://orcid.org/0000-0003-3754-9390Xiaochong Tong1https://orcid.org/0000-0001-7594-8582Lei Yang2https://orcid.org/0000-0002-8689-808XJian Shang3Chengbao Liu4Shulong Bao5Zhiqing Zhang6Jun Yang7Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites and the National Satellite Meteorological Center, China Meteorological Administration, Beijing, ChinaZhengzhou Xinda Institute of Advanced Technology, Information Engineering University, Zhengzhou, ChinaKey Laboratory of Radiometric Calibration and Validation for Environmental Satellites and the National Satellite Meteorological Center, China Meteorological Administration, Beijing, ChinaKey Laboratory of Radiometric Calibration and Validation for Environmental Satellites and the National Satellite Meteorological Center, China Meteorological Administration, Beijing, ChinaKey Laboratory of Radiometric Calibration and Validation for Environmental Satellites and the National Satellite Meteorological Center, China Meteorological Administration, Beijing, ChinaBeijing Institute of Space Mechanics and Electricity, Beijing, ChinaKey Laboratory of Radiometric Calibration and Validation for Environmental Satellites and the National Satellite Meteorological Center, China Meteorological Administration, Beijing, ChinaKey Laboratory of Radiometric Calibration and Validation for Environmental Satellites and the National Satellite Meteorological Center, China Meteorological Administration, Beijing, ChinaNavigation of images from lightning mapping instruments in geostationary orbits is very important for data applications. However, few scientific peer-reviewed papers have been reported, except a few works in the prelaunch tests. On December 11, 2016, China launched the three-axis stabilized geostationary meteorological satellite Fengyun-4A (FY-4A), which carries a lightning mapping imager (LMI) onboard. LMI is now providing lightning observations above the equator at 104.7˚E and covers a large portion of the eastern Asian continent. In this article, a new method has been set up to perform the image navigation for FY-4A/LMI. First, landmarks were used to calculate thermal deformation parameters and edge-binding technique was proposed to solve the inconsistency between the two tubes’ pointing directions. Second, temperatures of the mounting plate were used to be correlated with the daytime thermal deformation parameters to deduce the nighttime pointing directions when the landmarks were not available. Furthermore, the operational timetable for LMI was determined by analyzing the variations of navigation accuracy caused by the landmark observation interval and the sensor's integration time for landmarks. Analysis of about 9200 background images of 153 consecutive days from the housekeeping data were investigated to validate the proposed methods’ accuracy for LMI image navigation. Compared to the baseline algorithm, navigation accuracy has been improved on average from 2–10 pixels to 1 pixel. The FY-4A/LMI navigation system has been put into operation since May 1, 2018, which has been in normal service ever since.https://ieeexplore.ieee.org/document/9601240/FY-4image navigationlightning mapping imagerythermal deformation parameters |
spellingShingle | Jing Wang Xiaochong Tong Lei Yang Jian Shang Chengbao Liu Shulong Bao Zhiqing Zhang Jun Yang Image Navigation for FY-4A Lightning Mapping Imager IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing FY-4 image navigation lightning mapping imagery thermal deformation parameters |
title | Image Navigation for FY-4A Lightning Mapping Imager |
title_full | Image Navigation for FY-4A Lightning Mapping Imager |
title_fullStr | Image Navigation for FY-4A Lightning Mapping Imager |
title_full_unstemmed | Image Navigation for FY-4A Lightning Mapping Imager |
title_short | Image Navigation for FY-4A Lightning Mapping Imager |
title_sort | image navigation for fy 4a lightning mapping imager |
topic | FY-4 image navigation lightning mapping imagery thermal deformation parameters |
url | https://ieeexplore.ieee.org/document/9601240/ |
work_keys_str_mv | AT jingwang imagenavigationforfy4alightningmappingimager AT xiaochongtong imagenavigationforfy4alightningmappingimager AT leiyang imagenavigationforfy4alightningmappingimager AT jianshang imagenavigationforfy4alightningmappingimager AT chengbaoliu imagenavigationforfy4alightningmappingimager AT shulongbao imagenavigationforfy4alightningmappingimager AT zhiqingzhang imagenavigationforfy4alightningmappingimager AT junyang imagenavigationforfy4alightningmappingimager |