Incorporating Negative Sample Training for Ship Detection Based on Deep Learning.

Gao, Lianru; He, Yiqun; Sun, Xu; Jia, Xiuping; Zhang, Bing

Gao, Lianru; He, Yiqun; Sun, Xu; Jia, Xiuping; Zhang, Bing.

Afiliação

Gao L; Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. gaolr@radi.ac.cn.
He Y; Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. heyq@radi.ac.cn.
Sun X; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China. heyq@radi.ac.cn.
Jia X; Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. sunxu@radi.ac.cn.
Zhang B; CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang 050081, China. sunxu@radi.ac.cn.

Sensors (Basel) ; 19(3)2019 Feb 07.

Article em En | MEDLINE | ID: mdl-30736485

Palavras-chave

deep learning; high-resolution satellite images; negative sample training; sealand segmentation; ship detection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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