FY-3D/MERSI-Ⅱ数据无缝拼接真彩色影像处理方法

doi:10.3969/j.issn.1673-503X.2023.03.019

Abstract

Abstract:

A wide true color image processing method was proposed for the second generational medium resolution spectrum imager (MERSI-Ⅱ) on board the Chinese Fengyun-3D (FY-3D) polar orbit meteorological satellite.Using this method, the true color-composed image was realized by atmospheric correction and segmented enhancement for the three 250 m resolution visible bands of MERSI-Ⅱ.Then the seamless mosaic of multi-track images was realized based on pixel weighted fusion method and Wallis dodging algorithm.The application cases show that this method can obtain high-quality and intuitive remote sensing monitoring images, and effectively solve the limitation of scanning width of polar-orbit meteorological satellite's single-track data.This method is helpful to use polar orbit satellite data in monitoring services during emergency response.

Key words: True color, Seamless mosaic, Atmospheric correction, Image enhancement, Dodging

CLC Number:

P407.8

Quan-jun HE,Yue-wei ZHANG. Seamless mosaic true color image processing method for FY-3D/MERSI-Ⅱ data[J]. Journal of Meteorology and Environment, 2023, 39(3): 161-168.

Figures/Tables 9

Table 1

Table 2

Fig.1

Fig.2

Fig.3

Fig.4

Table 3

Fig.5

Fig.6

References 30

1	Miller S D , Schmit T L , Seaman C J , et al. A sight for sore eyes: the return of true color to geostationary satellites[J]. Bulletin of the American Meteorological Society, 2016, 97 (10): 1803- 1816. doi: 10.1175/BAMS-D-15-00154.1
2	Xie Y , Qu J J , Xiong X , et al. Smoke plume detection in the eastern united states using MODIS[J]. International Journal of Remote Sensing, 2007, 28 (10): 2367- 2374. doi: 10.1080/01431160701236795TOTAL-HWJS202305007.htm
3	Miller S D , Schmidt C C , Schmit T J , et al. A case for natural colour imagery from geostationary satellites, and an approximation for the GOES-R ABI[J]. International Journal of Remote Sensing, 2012, 33 (13): 3999- 4028. doi: 10.1080/01431161.2011.637529
4	Sohlberg R , Descloitres J , Bobbe T . MODIS land rapid response operational use of terra data for USFS wildfire management[J]. The Earth Observer, 2001, 13 (5): 8- 10.
5	Engel-Cox J A , Holloman C H , Coutant B W , et al. Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality[J]. Atmospheric Environment, 2004, 38 (16): 2495- 2509. doi: 10.1016/j.atmosenv.2004.01.039rticle/CJFDTOTAL-GYQX201904013.htmaction?journalTitle=海洋科学&year=2020&firstpage=47&issue=09
6	高大伟, 马浩, 郁珍艳, 等. 基于连续MODIS真彩图的霾监测预警新方法: 以浙江省一次严重霾污染过程为例[J]. 中国环境科学, 2015, 35 (10): 2939- 2949.
7	Sun K , Su Q H , Ming Y F . Dust storm remote sensing monitoring supported by MODIS land surface reflectance database[J]. Remote Sensing, 2019, 11 (15): 1772. doi: 10.3390/rs11151772
8	李延江, 王新龙, 居丽玲, 等. 卫星云图在海岸带大雾天气监测及预警中的应用[J]. 气象与环境学报, 2011, 27 (6): 56- 65.
9	He Q J , Chen C Q . A new approach for atmospheric correction of MODIS imagery in turbid coastal waters: a case study for the Pearl River Estuary[J]. Remote Sensing Letters, 2014, 5 (3): 249- 257. doi: 10.1080/2150704X.2014.898192
10	Shi W , Wang M H . Ocean dynamics observed by ⅦRS daynight band satellite observations[J]. Remote Sensing, 2018, 10 (1): 76.
11	武晋雯, 张玉书, 冯锐, 等. 基于MODIS的海冰面积遥感监测及其与气温的相关分析[J]. 遥感技术与应用, 2009, 24 (1): 73- 76.
12	沈亮, 苏玮, 付东洋, 等. 利用MODIS和HJ-1卫星数据监测墨西哥湾溢油事件[J]. 广东海洋大学学报, 2010, 30 (6): 50- 53.
13	Bai X L , Liu Z Y , LI X F , et al. Generation sites of internal solitary waves in the southern Taiwan Strait revealed by MODIS true-colour image observations[J]. International Journal of Remote Sensing, 2014, 35 (11/12): 4086- 4098.
14	Barnes B B , HU C M . Island building in the South China Sea: detection of turbidity plumes and artificial islands using Landsat and MODIS data[J]. Scientific Reports, 2016, 6, 33194. doi: 10.1038/srep33194
15	Tao M , Duan H T , Cao Z G , et al. A hybrid EOF algorithm to improve MODIS cyanobacteria phycocyanin data quality in a highly turbid lake bloom and nonbloom condition[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10 (10): 4430- 4444. doi: 10.1109/JSTARS.2017.2723079
16	拉巴, 陈涛, 拉巴卓玛, 等. 基于MODIS影像的色林错湖面积变化及成因[J]. 气象与环境学报, 2011, 27 (2): 69- 72.
17	Bah M K , Gunshor M M , Schmit T J . Generation of GOES-16 true color imagery without a green band[J]. Earth and Space Science, 2018, 5 (9): 549- 558. doi: 10.1029/2018EA000379
18	Broomhall M A , Majewski L J , Villani V O , et al. Correcting Himawari-8 advanced himawari imager data for the production of vivid true-color imagery[J]. Journal of Atmospheric and Oceanic Technology, 2019, 36 (3): 427- 442. doi: 10.1175/JTECH-D-18-0060.1
19	Jolliff J K , Lewis M D , Ladner S , et al. Observing the ocean submesoscale with enhanced-color GOES-ABI visible band data[J]. Sensors, 2019, 19 (18): 3900. doi: 10.3390/s19183900
20	Sovdat B , Kadunc M , Batic M , et al. Natural color representation of Sentinel-2 data[J]. Remote Sensing of Environment, 2019, 225, 392- 402. doi: 10.1016/j.rse.2019.01.036
21	瞿建华, 鄢俊洁, 薛娟, 等. 基于深度学习的FY3D/MERSI和EOS/MODIS云检测模型研究[J]. 气象与环境学报, 2019, 35 (3): 87- 93.
22	朱爱军, 胡秀清, 林曼筠, 等. 风云三号D气象卫星全球数据获取方法及数据分发[J]. 海洋气象学报, 2018, 38 (3): 1- 10.
23	韩秀珍, 王峰, 单天婵. 风云三号D星真彩色影像合成方法研究及应用[J]. 海洋气象学报, 2019, 39 (2): 13- 23.
24	张月维, 何全军, 黄江. 珠江三角洲地区FY-3卫星MERSI影像的大气校正方法研究[J]. 气象与环境学报, 2015, 31 (2): 15- 20.
25	Vermote E F , Tanré D , Deuze J L , et al. Second simulation of the satellite signal in the solar spectrum, 6S: an overview[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35 (3): 675- 686.
26	Nicolet M . The solar spectral irradiance and its action in the atmospheric photodissociation processes[J]. Planetary and Space Science, 1981, 29 (9): 951- 974.
27	Vermote E., Tanré D., Deuze J.L., et al. Second simulation of a satellite signal in the solar spectrum-vector(6SV)[EB/OL]. (2006-11)[2013-03-20]. https://salsa.umd.edu/files/6S/6S_Manual_Part_1.pdf.
28	Gumley L, Descloitres J, Schmaltz J. Creating reprojected true color MODIS images: a tutorial[EB/OL]. (2010-01-14)[2016-09-16]. https://gis-lab.info/docs/modis_true_color.pdf.
29	张力, 张祖勋, 张剑清. Wallis滤波在影像匹配中的应用[J]. 武汉测绘科技大学学报, 1999, 24 (1): 24- 27.
30	李烁, 王慧, 王利勇, 等. 自适应分块加权Wallis并行匀色[J]. 遥感学报, 2019, 23 (4): 706- 716.

通道	臭氧吸收系数a_o	水汽吸收系数
通道	臭氧吸收系数a_o	a	b
1	0.01394	0.0	0.0
2	0.09677	0.0	0.0
3	0.06302	-5.60723	0.82018

亮度	范围
输入亮度	[0, 25]	[25, 55]	[55, 100]	[100, 255]
输出亮度	[0, 90]	[90, 140]	[140, 175]	[175, 255]

波段	标准差之差		平均值之差
波段	匀光前	匀光后	匀光前	匀光后
R	1.93	0.10	2.86	0.34
G	1.65	0.09	2.55	0.35
B	1.52	0.28	0.45	0.00

[1]	Jun-jie YAN,Jian-hua QU,Fang-fang ZHANG,Xue-xing GUO,Yan-ting WANG. Study on multi-dimensional dynamic hybrid imaging technology based on FY-4A/AGRI [J]. Journal of Meteorology and Environment, 2022, 38(6): 98-105.
[2]	ZHANG Yue-wei,HE Quan-jun,HUANG Jiang. Study on atmospheric correction methods for FY-3 MERSI image over Pearl River Delta region [J]. Journal of Meteorology and Environment, 2015, 31(2): 15-20.

Seamless mosaic true color image processing method for FY-3D/MERSI-Ⅱ data

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 30

Related Articles 2

Metrics

Comments

Recommended 10