Automated object recognition in high-resolution optical remote sensing imagery
This paper reports the background and results of the Automated Object Recognition in Optical Remote Sensing Imagery, which is one of the tracks in 2022 International Algorithm Case Competition, as well as summarize the challenges, champion solutions, and future directions.
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Published in | National science review Vol. 10; no. 6; p. nwad122 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
China
Oxford University Press
01.06.2023
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Subjects | |
Online Access | Get full text |
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Summary: | This paper reports the background and results of the Automated Object Recognition in Optical Remote Sensing Imagery, which is one of the tracks in 2022 International Algorithm Case Competition, as well as summarize the challenges, champion solutions, and future directions. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Equally contributed to this work. |
ISSN: | 2095-5138 2053-714X |
DOI: | 10.1093/nsr/nwad122 |