A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE
Global warming has become one of the most prominent global issues, and Antarctic ice sheet is one of the indicator of global climate change. Satellite imagery has become an important means of monitoring the changes in Antarctic ice sheet. Due to the high overlap of satellite imaging swaths, the exis...
Published in: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Format: | Article in Journal/Newspaper |
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2020
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Online Access: | https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 https://noa.gwlb.de/receive/cop_mods_00052359 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00052012/isprs-annals-V-4-2020-217-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/isprs-annals-V-4-2020-217-2020.pdf |
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00052359 2023-05-15T13:54:46+02:00 A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE Chen, Y. Shen, X. Zhang, G. Liu, T. Lu, Z. Xu, J. Wang, H. 2020-08 electronic https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 https://noa.gwlb.de/receive/cop_mods_00052359 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00052012/isprs-annals-V-4-2020-217-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/isprs-annals-V-4-2020-217-2020.pdf eng eng Copernicus Publications ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences -- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/annals.aspx -- 2194-9050 https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 https://noa.gwlb.de/receive/cop_mods_00052359 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00052012/isprs-annals-V-4-2020-217-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/isprs-annals-V-4-2020-217-2020.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2020 ftnonlinearchiv https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 2022-02-08T22:35:59Z Global warming has become one of the most prominent global issues, and Antarctic ice sheet is one of the indicator of global climate change. Satellite imagery has become an important means of monitoring the changes in Antarctic ice sheet. Due to the high overlap of satellite imaging swaths, the existing Antarctica images have the disadvantages of long period of imagery acquisition, large temporal difference among the mosaic images, and low utilization of satellite resource. This paper proposes a satellite imaging mission planning method for fast Antarctica coverage. First, the imaging time window is forecasted within the specified imaging time range to obtain all the visible time windows of the imaging satellite to Antarctica. Then, taking the selection of each time window and the satellite swing angle in each time window as decision variables, and the satellite attitude maneuver ability as constraint, an imaging mission model including two objective functions with minimum number of imaging time windows and the maximum coverage rate is established. To solving the proposed multi-objective optimization model, an improved real-binary hybrid LMOCSO (large-scale multi-objective optimization based on a competitive swarm optimizer) is proposed in this paper. Finally, a simulation experiment was performed using Gaofen-3 satellite to verify the effectiveness of the proposed method. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Niedersächsisches Online-Archiv NOA Antarctic ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 217 222 |
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Niedersächsisches Online-Archiv NOA |
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English |
topic |
article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Chen, Y. Shen, X. Zhang, G. Liu, T. Lu, Z. Xu, J. Wang, H. A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE |
topic_facet |
article Verlagsveröffentlichung |
description |
Global warming has become one of the most prominent global issues, and Antarctic ice sheet is one of the indicator of global climate change. Satellite imagery has become an important means of monitoring the changes in Antarctic ice sheet. Due to the high overlap of satellite imaging swaths, the existing Antarctica images have the disadvantages of long period of imagery acquisition, large temporal difference among the mosaic images, and low utilization of satellite resource. This paper proposes a satellite imaging mission planning method for fast Antarctica coverage. First, the imaging time window is forecasted within the specified imaging time range to obtain all the visible time windows of the imaging satellite to Antarctica. Then, taking the selection of each time window and the satellite swing angle in each time window as decision variables, and the satellite attitude maneuver ability as constraint, an imaging mission model including two objective functions with minimum number of imaging time windows and the maximum coverage rate is established. To solving the proposed multi-objective optimization model, an improved real-binary hybrid LMOCSO (large-scale multi-objective optimization based on a competitive swarm optimizer) is proposed in this paper. Finally, a simulation experiment was performed using Gaofen-3 satellite to verify the effectiveness of the proposed method. |
format |
Article in Journal/Newspaper |
author |
Chen, Y. Shen, X. Zhang, G. Liu, T. Lu, Z. Xu, J. Wang, H. |
author_facet |
Chen, Y. Shen, X. Zhang, G. Liu, T. Lu, Z. Xu, J. Wang, H. |
author_sort |
Chen, Y. |
title |
A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE |
title_short |
A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE |
title_full |
A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE |
title_fullStr |
A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE |
title_full_unstemmed |
A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE |
title_sort |
satellite imaging mission planning method for fast antarctica coverage |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 https://noa.gwlb.de/receive/cop_mods_00052359 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00052012/isprs-annals-V-4-2020-217-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/isprs-annals-V-4-2020-217-2020.pdf |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet |
op_relation |
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences -- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/annals.aspx -- 2194-9050 https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 https://noa.gwlb.de/receive/cop_mods_00052359 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00052012/isprs-annals-V-4-2020-217-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/isprs-annals-V-4-2020-217-2020.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 |
container_title |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
V-4-2020 |
container_start_page |
217 |
op_container_end_page |
222 |
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1766260878050590720 |