Research on image information extraction and analysis method of space-based space debris detection system

DIanjun Wang; Wei Zhang; Cheng Wei; Linghua Guo

doi:10.1117/12.2536256

Research on image information extraction and analysis method of space-based space debris detection system

DIanjun Wang
, Wei Zhang
, Cheng Wei
, Linghua Guo

School of Astronautics

China Aerospace Science and Technology Corporation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The space-based detection system is gradually indispensable into situational awareness systems such as near-celestial bodies and space debris because it has the characteristics of being unrestricted by factors such as climate and geography, and can be observed over a long period of time. At present, the international on-orbit detection of near-celestial bodies and space debris is widespread, that is, the lack of measurement system development and design means, and the lack of data sources. The paper focuses on the principle of space debris on-orbit imaging. Three image information extraction methods and two relative attitude determination methods are proposed. The simulation algorithm of space debris on-orbit imaging is constructed, and the feasibility of the simulation scheme is used. Performance, accuracy, data processing efficiency and other performance were evaluated. The results of the paper will contribute to the early analysis and assessment of space debris.

Original language	English
Title of host publication	Electro-Optical Remote Sensing XIII
Editors	Gary W. Kamerman, Ove Steinvall
Publisher	SPIE
ISBN (Electronic)	9781510630239
DOIs	https://doi.org/10.1117/12.2536256
State	Published - 2019
Event	Electro-Optical Remote Sensing XIII 2019 - Strasbourg, France Duration: 9 Sep 2019 → 10 Sep 2019

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11160
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Electro-Optical Remote Sensing XIII 2019
Country/Territory	France
City	Strasbourg
Period	9/09/19 → 10/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Space debris
attitude determination
image processing
orbit determination
simulation and evaluation
space-based detection systems

Access to Document

10.1117/12.2536256

Cite this

Wang, DI., Zhang, W., Wei, C., & Guo, L. (2019). Research on image information extraction and analysis method of space-based space debris detection system. In G. W. Kamerman, & O. Steinvall (Eds.), Electro-Optical Remote Sensing XIII Article 111600N (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11160). SPIE. https://doi.org/10.1117/12.2536256

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title = "Research on image information extraction and analysis method of space-based space debris detection system",

abstract = "The space-based detection system is gradually indispensable into situational awareness systems such as near-celestial bodies and space debris because it has the characteristics of being unrestricted by factors such as climate and geography, and can be observed over a long period of time. At present, the international on-orbit detection of near-celestial bodies and space debris is widespread, that is, the lack of measurement system development and design means, and the lack of data sources. The paper focuses on the principle of space debris on-orbit imaging. Three image information extraction methods and two relative attitude determination methods are proposed. The simulation algorithm of space debris on-orbit imaging is constructed, and the feasibility of the simulation scheme is used. Performance, accuracy, data processing efficiency and other performance were evaluated. The results of the paper will contribute to the early analysis and assessment of space debris.",

keywords = "Space debris, attitude determination, image processing, orbit determination, simulation and evaluation, space-based detection systems",

author = "DIanjun Wang and Wei Zhang and Cheng Wei and Linghua Guo",

note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Electro-Optical Remote Sensing XIII 2019 ; Conference date: 09-09-2019 Through 10-09-2019",

year = "2019",

doi = "10.1117/12.2536256",

language = "英语",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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Wang, DI, Zhang, W, Wei, C & Guo, L 2019, Research on image information extraction and analysis method of space-based space debris detection system. in GW Kamerman & O Steinvall (eds), Electro-Optical Remote Sensing XIII., 111600N, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11160, SPIE, Electro-Optical Remote Sensing XIII 2019, Strasbourg, France, 9/09/19. https://doi.org/10.1117/12.2536256

Research on image information extraction and analysis method of space-based space debris detection system. / Wang, DIanjun; Zhang, Wei; Wei, Cheng et al.
Electro-Optical Remote Sensing XIII. ed. / Gary W. Kamerman; Ove Steinvall. SPIE, 2019. 111600N (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11160).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on image information extraction and analysis method of space-based space debris detection system

AU - Wang, DIanjun

AU - Zhang, Wei

AU - Wei, Cheng

AU - Guo, Linghua

N1 - Publisher Copyright: © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

PY - 2019

Y1 - 2019

N2 - The space-based detection system is gradually indispensable into situational awareness systems such as near-celestial bodies and space debris because it has the characteristics of being unrestricted by factors such as climate and geography, and can be observed over a long period of time. At present, the international on-orbit detection of near-celestial bodies and space debris is widespread, that is, the lack of measurement system development and design means, and the lack of data sources. The paper focuses on the principle of space debris on-orbit imaging. Three image information extraction methods and two relative attitude determination methods are proposed. The simulation algorithm of space debris on-orbit imaging is constructed, and the feasibility of the simulation scheme is used. Performance, accuracy, data processing efficiency and other performance were evaluated. The results of the paper will contribute to the early analysis and assessment of space debris.

AB - The space-based detection system is gradually indispensable into situational awareness systems such as near-celestial bodies and space debris because it has the characteristics of being unrestricted by factors such as climate and geography, and can be observed over a long period of time. At present, the international on-orbit detection of near-celestial bodies and space debris is widespread, that is, the lack of measurement system development and design means, and the lack of data sources. The paper focuses on the principle of space debris on-orbit imaging. Three image information extraction methods and two relative attitude determination methods are proposed. The simulation algorithm of space debris on-orbit imaging is constructed, and the feasibility of the simulation scheme is used. Performance, accuracy, data processing efficiency and other performance were evaluated. The results of the paper will contribute to the early analysis and assessment of space debris.

KW - Space debris

KW - attitude determination

KW - image processing

KW - orbit determination

KW - simulation and evaluation

KW - space-based detection systems

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U2 - 10.1117/12.2536256

DO - 10.1117/12.2536256

M3 - 会议稿件

AN - SCOPUS:85078022898

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Electro-Optical Remote Sensing XIII

A2 - Kamerman, Gary W.

A2 - Steinvall, Ove

PB - SPIE

T2 - Electro-Optical Remote Sensing XIII 2019

Y2 - 9 September 2019 through 10 September 2019

ER -

Research on image information extraction and analysis method of space-based space debris detection system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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