An Efficient Deep Learning-Based High-Definition Image Compressed Sensing Framework for Large-Scene Construction Site Monitoring.

Zeng, Tuocheng; Wang, Jiajun; Wang, Xiaoling; Zhang, Yunuo; Ren, Bingyu

Zeng, Tuocheng; Wang, Jiajun; Wang, Xiaoling; Zhang, Yunuo; Ren, Bingyu.

Afiliação

Zeng T; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China.
Wang J; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China.
Wang X; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China.
Zhang Y; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China.
Ren B; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China.

Sensors (Basel) ; 23(5)2023 Feb 25.

Article em En | MEDLINE | ID: mdl-36904766

Palavras-chave

EHDCS-Net; downsampling and pixelshuffle; high-definition; images compressed sensing; large-scene construction sites

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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China