Cargando…
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.
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: | |
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 |
Ejemplares similares
-
Intelligent Object Recognition of Urban Water Bodies Based on Deep Learning for Multi-Source and Multi-Temporal High Spatial Resolution Remote Sensing Imagery
por: Song, Shiran, et al.
Publicado: (2020) -
Genetic Particle Swarm Optimization–Based Feature Selection for Very-High-Resolution Remotely Sensed Imagery Object Change Detection
por: Chen, Qiang, et al.
Publicado: (2016) -
Automated Landslides Detection for Mountain Cities Using Multi-Temporal Remote Sensing Imagery
por: Chen, Zhong, et al.
Publicado: (2018) -
Estimation of the Distribution of Tabebuia guayacan (Bignoniaceae) Using High-Resolution Remote Sensing Imagery
por: Sánchez-Azofeifa, Arturo, et al.
Publicado: (2011) -
Remote Sensing Imagery Super Resolution Based on Adaptive Multi-Scale Feature Fusion Network
por: Wang, Xinying, et al.
Publicado: (2020)