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.

Detalles Bibliográficos
Autores principales: Yao, Yazhou, Chen, Tao, Bi, Hanbo, Cai, Xinhao, Pei, Gensheng, Yang, Guoye, Yan, Zhiyuan, Sun, Xian, Xu, Xing, Zhang, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
PERSPECTIVE
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265956/
https://www.ncbi.nlm.nih.gov/pubmed/37324647
http://dx.doi.org/10.1093/nsr/nwad122
Descripción
Sumario: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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