Application of earth observation system of video satellite

doi:10.6046/gtzyyg.2018.03.01

Abstract
Figures/Tables
References
Related Articles
Metrics

Download: PDF(3845 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Remote sensing technology is developing rapidly at present,and human beings are entering a new era of earth observation characterized by high temporal resolution,high spectral resolution and high spatial resolution step by step. The appearance of video satellite brings a new favorable opportunity for real-time observation of remote sensing,which corresponds to the needs of future remote sensing real-time commercial development. This paper summarizes the development status and trend of video satellite both in China and abroad. Then the paper introduces the image-forming principle and characteristics of video satellite,and makes a comparison between the roll-broom imaging mode of video satellite and the push-broom imaging mode of traditional satellite. This paper proposes the application of future video satellite from four important aspects, i.e., business intelligence real-time monitoring,the whole process of natural disasters and dynamic monitoring,environment dynamic monitoring and military security.

Keywords earth observation video satellite temporal resolution spatial resolution satellite network

TP79

Corresponding Authors: Guojin HE E-mail: hegj@radi.ac.cn

Issue Date: 10 September 2018

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	Yiqin YUAN
	Guojin HE
	Wei JIANG
	Guizhou WANG

Cite this article:

Yiqin YUAN,Guojin HE,Wei JIANG, et al. Application of earth observation system of video satellite[J]. Remote Sensing for Land & Resources, 2018, 30(3): 1-8.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.03.01 OR https://www.gtzyyg.com/EN/Y2018/V30/I3/1

Tab.1 Major Technical Parameters of video satellites^[11]

Tab.2 Major Technical Parameters of Skysat^[14]

Tab.3 Major Technical Parameters of Iris of Urthecast

Tab.4 Major Technical Parameters of Jilin-1

Fig.1 Sketch map of Push-broom imaging mode

Fig.2 Target gaze imaging^[6]

Fig.3 Vehicle extraction from SkySat-1video^[19]

Fig.4 Extraction of car density from first frame of Skysat-1 video^[19]

Fig.5 Infrared image of Williston in September 2013^[23]

Fig.6 Mining map of Dingnan County rare earths mine

Fig.7 The ground blown up by missile in Yemen

Fig.8 Real-time monitoring of Dubai aircraft from SatSat-1

[1]	Gómez C, White J C, Wulder M A . Optical remotely sensed time series data for land cover classification:A review[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016,116:55-72. doi: 10.1016/j.isprsjprs.2016.03.008 url: http://linkinghub.elsevier.com/retrieve/pii/S0924271616000769
[2]	李德仁, 王密, 沈欣 , 等. 从对地观测卫星到对地观测脑[J]. 武汉大学学报(信息科学版), 2017,42(2):143-149. doi: 10.13203/j.whugis20160526 url: 年度引用
[2]	Li D R, Wang M, Shen X , et al. From earth observation satellite to earth observation brain[J]. Geomatics and Information Science of Wuhan University, 2017,42(2):143-149.
[3]	刘韬 . 国外视频卫星发展研究[J].国际太空, 2014(9):50-56.
[3]	Liu T . Research of national and International video satellites[J]. International, 2014(9):50-56.
[4]	朱厉洪, 回征, 任德锋 , 等. 视频成像卫星发展现状与启示[J].卫星应用,2015(10):23-28.
[4]	Zhu L H, Hui Z, Ren D F , et al. Video imaging satellite development and the enlightenment[J].Satellite Application, 2015(10):23-28.
[5]	潘益云, 李海超 . 低轨视频卫星成像特性分析[J]. 航天器工程, 2015,24(5):52-57.
[5]	Pan Y Y, Li H C . Imaging characteristics analysis for LEO video satellite[J]. Spacecraft Engineering, 2015,24(5):52-57.
[6]	付凯林, 杨芳, 黄敏 , 等. 低轨道视频卫星任务模式的研究与应用[ C]//北京力学会第21届学术年会暨北京振动工程学会第22届学术年会论文集.北京:北京力学会, 2015. url: http://cpfd.cnki.com.cn/Article/CPFDTOTAL-BJLH201501001311.htm
[6]	Fu K L, Yang F, Huang M , et al. Research in task mode of low earth orbit video satellite[ C]//Proceedings of the 21st Academic Society of Beijing and the 22nd Symposium of Beijing Institute of Vibration Engineering. 2015.
[7]	赵施柳 .热核艺术的震撼:NASA发布30分钟太阳4K影像[EB/OL].( 2015- 11- 02). . url: http://www.thepaper.cn/newsDetail_forward_1391947
[7]	Zhao S L .The shock of thermonuclear art: 4K video of sun about 30 minutes released by NANA[EB/OL].( 2015- 11- 02). . url: http://www.thepaper.cn/newsDetail_forward_1391947
[8]	王景泉 . 商业遥感卫星市场的现状与发展趋势[J].卫星应用, 2012(1):49-53.
[8]	Wang J Q . The status and development trend of commercial remote sensing satellite market[J].Satellite Application, 2012(1):49-53.
[9]	王握文, 刘小兵 .我首颗视频成像体制微卫星"天拓二号"发射成功[N/OL].光明日报, 2014- 09- 09(01). . url: http://epaper.gmw.cn/gmrb/html/2014-09/09/nw.D110000gmrb_20140909_8-01.htm
[9]	Wang W W,Liu X B .Tiantuo-2.China’s first video imaging system of micro satellite[N/OL].Guangming Daily, 2014- 09- 09(01). . url: http://epaper.gmw.cn/gmrb/html/2014-09/09/nw.D110000gmrb_20140909_8-01.htm
[10]	邹维荣,宗兆盾 .中国成功发射一颗米级高清动态视频卫星[EB/OL].( 2015- 10- 10). . url: http://news.ifeng.com/a/20151007/44790119_0.shtml
[10]	Zou W R,Zong Z D .A nanometers HD dynamic video satellite as successfully launched in China[EB/OL].( 2015- 10- 10). . url: http://news.ifeng.com/a/20151007/44790119_0.shtml
[11]	王余涛 . 空间视频成像市场前景尚不确定[J].卫星应用, 2014(7):64. url: http://d.wanfangdata.com.cn/Periodical_wxyy201407017.aspx
[11]	Wang Y T . Uncertain market prospect of video satellite[J].Satellite Application, 2014(7):64.
[12]	刘韬 . Skybox公司高分辨率小微卫星星座开启商业遥感2.0时代[J].卫星应用, 2014(3):70-71.
[12]	Liu T . High resolution small satellite companies such as Skybox open a 2.0 era of business remote sensing[J].Satellite Application, 2014(3):70-71.
[13]	张召才 . 国外芯片卫星发展研究[J].国际太空, 2014(5):45-49.
[13]	Zhang Z C . Research on the development of foreign chip satellites[J].Space International, 2014(5):45-49.
[14]	赵梦姣 .揭秘“吉林一号”组星-我国航天遥感应用商业化产业化迈出重要一步[EB/OL].( 2015- 10- 20). . url: http://www.qstheory.cn/science/2015-10/20/c_1116876319.htm
[14]	Zhao M J .Revelation of "Jilin-1" group star-a significant step of space remote sensing application commercialization industrialization in China[EB/OL].( 2015- 10- 20). . url: http://www.qstheory.cn/science/2015-10/20/c_1116876319.htm
[15]	赵英时 . 遥感应用分析原理与方法[M]. 北京: 科学出版社, 2003: 87-91.
[15]	Zhao Y S. Analysis Principle and Method of Remote Sensing Application[M]. Beijing: Science Press, 2003: 87-91.
[16]	航天东方红卫星有限公司 .一种新型敏捷卫星机动中成像方法:中国, 201410163903.1[P]. 2014 -04-22.
[16]	China Spacesat Company.Novel imaging method in agile satellite maneuvering:CN, 201410163903.1[P]. 2014 -04-22.
[17]	孙志远, 张刘, 金光 , 等. 视频小卫星凝视姿态跟踪的仿真与实验[J]. 光学精密工程, 2011,19(11):2715-2723. doi: 10.3788/OPE.20111911.2715
[17]	Sun Z Y, Zhang L, Jin G , et al. Simulation and experiment on attitude tracking control of small TV satellite[J]. Optics and Precision Engineering, 2011,19(11):2715-2723.
[18]	徐雨果, 刘团结, 尤红建 , 等. HJ1B星CCD相机内方位元素的在轨标定方法[J]. 遥感技术与应用, 2011,26(3):309-314. url: http://d.wanfangdata.com.cn/Periodical/ygjsyyy201103008
[18]	Xu Y G, Liu T J, You H J , et al. On-orbit calibration of interior orientation for HJ1BCCD camera[J]. Remote Sensing Technology and Application, 2011,26(3):309-314.
[19]	Kopsiaftis G, Karantzalos K. Vehicle detection and traffic density monitoring from very high resolution satellite video data [C]//Proceedings of 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).Milan,Italy:IEEE, 2015: 1881-1884,doi: 10.1109/IGARSS.2015.7326160.
[20]	Yang T, Wang X W, Yao B W , et al. Small moving vehicle detection in a satellite video of an urban area[J]. Sensors, 2016,16(9):1528. doi: 10.3390/s16091528 pmid: 5038801 url: http://www.mdpi.com/1424-8220/16/9/1528
[21]	Larsen S Ø, Koren H, Solberg R . Traffic monitoring using very high resolution satellite imagery[J]. Photogrammetric Engineering & Remote Sensing, 2009,75(7):859-869. doi: 10.14358/PERS.75.7.859 url: http://www.ingentaconnect.com/content/asprs/pers/2009/00000075/00000007/art00006
[22]	Leitloff J, Hinz S, Stilla U . Vehicle detection in very high resolution satellite images of city areas[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010,48(7):2795-2806. doi: 10.1109/TGRS.2010.2043109 url: http://ieeexplore.ieee.org/document/5440956/
[23]	Manthos D .SkyTruth releases dynamic map of global flaring[EB/OL].( 2014- 08- 22). . url: http://skytruth.org/2014/08/global-flaring-map
[24]	张国清, 武向荣 . 高分辨率商业遥感卫星的发展及军事应用[J].现代军事, 2012(6):38-41.
[24]	Zhang G Q, Wu X R . The development of high resolution remote sensing satellite business and military applications[J].Conmilit, 2012(6):38-41.
[25]	段云龙, 赵海庆 . 高分辨率遥感卫星的发展及其军事应用探索[J].电光系统, 2013(3):12-16.
[25]	Duan Y L, Zhao H Q . Discussion of the development of high-resolution remote sensing satellites and the military applications[J].Electronic and Electro-Optical Systems, 2013(3):12-16.
[26]	李德仁 .推广遥感应用,仍需行业人士共同努力[EB/OL].( 2016- 08- 10). . url: http://www.3snews.net/domestic/244000042976.html
[26]	Li D R .Promotion of remote sensing application needs the industry to work together[EB/OL].( 2016- 08- 10). . url: http://www.3snews.net/domestic/244000042976.htm

[1]	JING Guifei. Analysis of impact of open science on the construction of Global Earth Observation System of Systems[J]. Remote Sensing for Land & Resources, 2020, 32(4): 1-7.
[2]	Chenlie SHI, Xuhong WANG, Meng ZHANG, Zhuang LIU, Xinming ZHU. Analysis of the applicability of three remote sensing spatiotemporal fusion algorithms in flood monitoring[J]. Remote Sensing for Land & Resources, 2020, 32(2): 111-119.
[3]	Bingxiu YAO, Liang HUANG, Yansong XU. A high resolution remote sensing image segmentation method based on superpixel and graph theory[J]. Remote Sensing for Land & Resources, 2019, 31(3): 72-79.
[4]	Baoquan WEI, Anning SUO, Ying LI, Jianhua ZHAO. Research on the application of LBV transformation in domestic ZY-3 satellite images[J]. Remote Sensing for Land & Resources, 2019, 31(3): 87-94.
[5]	Xianlei FAN, Hongbo YAN, Ying QU. Comparison and validation of the methods for estimating surface albedo from HJ-1 A/B CCD data[J]. Remote Sensing for Land & Resources, 2019, 31(3): 123-131.
[6]	Jiaqi WU, Taoyang WANG, Yufen PENG, Guo ZHANG. Bayer interpolation for video satellite images[J]. Remote Sensing for Land & Resources, 2019, 31(2): 51-58.
[7]	Linlin LIANG, Liming JIANG, Zhiwei ZHOU, Yuxing CHEN, Yafei SUN. Object-oriented classification of unmanned aerial vehicle image for thermal erosion gully boundary extraction[J]. Remote Sensing for Land & Resources, 2019, 31(2): 180-186.
[8]	Ying WU, Sulin JIANG, Zhenhui WANG. Comparison and analysis of the interference identification methods for microwave measurements over snow land[J]. Remote Sensing for Land & Resources, 2018, 30(3): 40-47.
[9]	Ye LYU, Xiangyun HU. Road extraction by incremental Markov random field segmentation from high spatial resolution remote sensing images[J]. Remote Sensing for Land & Resources, 2018, 30(3): 76-82.
[10]	SUN Na, GAO Zhiqiang, WANG Xiaojing, LUO Zhidong. High-precise extraction for water on the Loess Plateau region from high resolution satellite image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 173-178.
[11]	YIN Feng, CAO Liqin, Liang Peng. Application of improved Welsh’s color transfer algorithm to GF-2 image fusion[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 126-131.
[12]	SU Tengfei, ZHANG Shengwei, LI Hongyu. Variable scale Mean-Shift based method for cropland segmentation from high spatial resolution remote sensing images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 41-50.
[13]	YANG Qingshan, ZHANG Hua. A new method for classification of high spatial resolution remotely sensed imagery based on fusion of shape and spectral information of pixels[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 64-70.
[14]	DENG Zeng, LI Dan, KE Yinghai, WU Yanchen, LI Xiaojuan, GONG Huili. An improved SVM algorithm for high spatial resolution remote sensing image classification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(3): 12-18.
[15]	YU Bo, WANG Li, NIU Zheng. Analysis of built-up land detection in new Beichuan County based on neutrosophic set[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 106-112.

Viewed

Full text

Abstract

Cited

Shared

Discussed