Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking

Bibliographic Details
Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: He, Bin, Zhao, Xi, Chen, Ying, Liu, Chuang, Pang, Xiaoping
Other Authors: National Natural Science Foundation of China
Format: Article in Journal/Newspaper
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
Subjects:
Online Access:http://dx.doi.org/10.1109/jstars.2022.3178117
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09783199.pdf?arnumber=9783199
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spelling crieeecr:10.1109/jstars.2022.3178117 2024-06-16T07:43:05+00:00 Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking He, Bin Zhao, Xi Chen, Ying Liu, Chuang Pang, Xiaoping National Natural Science Foundation of China 2022 http://dx.doi.org/10.1109/jstars.2022.3178117 http://xplorestaging.ieee.org/ielx7/4609443/9656571/09783199.pdf?arnumber=9783199 unknown Institute of Electrical and Electronics Engineers (IEEE) https://creativecommons.org/licenses/by/4.0/legalcode IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing volume 15, page 4326-4336 ISSN 1939-1404 2151-1535 journal-article 2022 crieeecr https://doi.org/10.1109/jstars.2022.3178117 2024-05-17T13:12:04Z Article in Journal/Newspaper Sea ice IEEE Publications IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 4326 4336
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
author2 National Natural Science Foundation of China
format Article in Journal/Newspaper
author He, Bin
Zhao, Xi
Chen, Ying
Liu, Chuang
Pang, Xiaoping
spellingShingle He, Bin
Zhao, Xi
Chen, Ying
Liu, Chuang
Pang, Xiaoping
Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking
author_facet He, Bin
Zhao, Xi
Chen, Ying
Liu, Chuang
Pang, Xiaoping
author_sort He, Bin
title Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking
title_short Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking
title_full Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking
title_fullStr Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking
title_full_unstemmed Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking
title_sort application of feature tracking using k-nearest-neighbor vector field consensus in sea ice tracking
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2022
url http://dx.doi.org/10.1109/jstars.2022.3178117
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09783199.pdf?arnumber=9783199
genre Sea ice
genre_facet Sea ice
op_source IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
volume 15, page 4326-4336
ISSN 1939-1404 2151-1535
op_rights https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.1109/jstars.2022.3178117
container_title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
container_volume 15
container_start_page 4326
op_container_end_page 4336
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