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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Autores principales:	Jing Wang, Xiaochong Tong, Lei Yang, Jian Shang, Chengbao Liu, Shulong Bao, Zhiqing Zhang, Jun Yang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	FY-4 image navigation lightning mapping imagery thermal deformation parameters Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/5ac1a2e46d1644e1a63629678b7a00d8
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id	oai:doaj.org-article:5ac1a2e46d1644e1a63629678b7a00d8
record_format	dspace
spelling	oai:doaj.org-article:5ac1a2e46d1644e1a63629678b7a00d82021-11-20T00:00:26ZImage Navigation for FY-4A Lightning Mapping Imager2151-153510.1109/JSTARS.2021.3124955https://doaj.org/article/5ac1a2e46d1644e1a63629678b7a00d82021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9601240/https://doaj.org/toc/2151-1535Navigation 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.Jing WangXiaochong TongLei YangJian ShangChengbao LiuShulong BaoZhiqing ZhangJun YangIEEEarticleFY-4image navigationlightning mapping imagerythermal deformation parametersOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11450-11465 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	FY-4 image navigation lightning mapping imagery thermal deformation parameters Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
spellingShingle	FY-4 image navigation lightning mapping imagery thermal deformation parameters Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Jing Wang Xiaochong Tong Lei Yang Jian Shang Chengbao Liu Shulong Bao Zhiqing Zhang Jun Yang Image Navigation for FY-4A Lightning Mapping Imager
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.
format	article
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
title	Image Navigation for FY-4A Lightning Mapping Imager
title_short	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_sort	image navigation for fy-4a lightning mapping imager
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/5ac1a2e46d1644e1a63629678b7a00d8
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
_version_	1718419833802981376

Image Navigation for FY-4A Lightning Mapping Imager

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