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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ftcopernicus:oai:publications.copernicus.org:isprs-annals87907 2023-05-15T13:31:38+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. 2020-08-03 application/pdf https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/ eng eng doi:10.5194/isprs-annals-V-4-2020-217-2020 https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/ eISSN: 2194-9050 Text 2020 ftcopernicus https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 2020-08-10T16:22:03Z 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. Text Antarc* Antarctic Antarctica Ice Sheet Copernicus Publications: E-Journals Antarctic ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 217 222 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
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 |
Text |
author |
Chen, Y. Shen, X. Zhang, G. Liu, T. Lu, Z. Xu, J. Wang, H. |
spellingShingle |
Chen, Y. Shen, X. Zhang, G. Liu, T. Lu, Z. Xu, J. Wang, H. A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE |
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 |
publishDate |
2020 |
url |
https://doi.org/10.5194/isprs-annals-V-4-2020-217-2020 https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/ |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet |
op_source |
eISSN: 2194-9050 |
op_relation |
doi:10.5194/isprs-annals-V-4-2020-217-2020 https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2020/217/2020/ |
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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1766019649267302400 |