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spelling crieeecr:10.1109/jstars.2022.3166897 2024-09-15T18:34:37+00:00 Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery Li, Mingci Zhou, Chunxia Li, Bing Chen, Xiaoli Liu, Jianqiang Zeng, Tao National Key Research and Development Program of China Funds for the Distinguished Young Scientists of Hubei Province, China National Natural Science Foundation of China 2022 http://dx.doi.org/10.1109/jstars.2022.3166897 http://xplorestaging.ieee.org/ielx7/4609443/9656571/09756229.pdf?arnumber=9756229 unknown Institute of Electrical and Electronics Engineers (IEEE) https://creativecommons.org/licenses/by-nc-nd/4.0/ IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing volume 15, page 3390-3402 ISSN 1939-1404 2151-1535 journal-article 2022 crieeecr https://doi.org/10.1109/jstars.2022.3166897 2024-08-05T04:18:06Z Article in Journal/Newspaper Sea ice IEEE Publications IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1 1
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
author2 National Key Research and Development Program of China
Funds for the Distinguished Young Scientists of Hubei Province, China
National Natural Science Foundation of China
format Article in Journal/Newspaper
author Li, Mingci
Zhou, Chunxia
Li, Bing
Chen, Xiaoli
Liu, Jianqiang
Zeng, Tao
spellingShingle Li, Mingci
Zhou, Chunxia
Li, Bing
Chen, Xiaoli
Liu, Jianqiang
Zeng, Tao
Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery
author_facet Li, Mingci
Zhou, Chunxia
Li, Bing
Chen, Xiaoli
Liu, Jianqiang
Zeng, Tao
author_sort Li, Mingci
title Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery
title_short Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery
title_full Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery
title_fullStr Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery
title_full_unstemmed Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery
title_sort application of the combined feature tracking and maximum cross-correlation algorithm to the extraction of sea ice motion data from gf-3 imagery
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2022
url http://dx.doi.org/10.1109/jstars.2022.3166897
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09756229.pdf?arnumber=9756229
genre Sea ice
genre_facet Sea ice
op_source IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
volume 15, page 3390-3402
ISSN 1939-1404 2151-1535
op_rights https://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1109/jstars.2022.3166897
container_title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
container_start_page 1
op_container_end_page 1
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