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 inNational science review Vol. 10; no. 6; p. nwad122
Main Authors Yao, Yazhou, Chen, Tao, Bi, Hanbo, Cai, Xinhao, Pei, Gensheng, Yang, Guoye, Yan, Zhiyuan, Sun, Xian, Xu, Xing, Zhang, Hai
Format Journal Article
LanguageEnglish
Published China Oxford University Press 01.06.2023
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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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
Equally contributed to this work.
ISSN:2095-5138
2053-714X
DOI:10.1093/nsr/nwad122