Joint Feature-Space and Sample-Space Based Heterogeneous Feature Transfer Method for Object Recognition Using Remote Sensing Images with Different Spatial Resolutions.

Hu, Wei; Kong, Xiyuan; Xie, Liang; Yan, Huijiong; Qin, Wei; Meng, Xiangyi; Yan, Ye; Yin, Erwei

Hu, Wei; Kong, Xiyuan; Xie, Liang; Yan, Huijiong; Qin, Wei; Meng, Xiangyi; Yan, Ye; Yin, Erwei.

Afiliação

Hu W; Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin 300457, China.
Kong X; China Great Wall Industry Corporation, Beijing 100000, China.
Xie L; Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100000, China.
Yan H; National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing 100000, China.
Qin W; Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100000, China.
Meng X; Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100000, China.
Yan Y; Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100000, China.
Yin E; Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100000, China.

Sensors (Basel) ; 21(22)2021 Nov 14.

Article em En | MEDLINE | ID: mdl-34833645

Assuntos

Tecnologia de Sensoriamento Remoto

Palavras-chave

classification of remote sensing images; heterogeneous feature transfer; negative transfer; transfer learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecnologia de Sensoriamento Remoto Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

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XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecnologia de Sensoriamento Remoto Idioma: En Ano de publicação: 2021 Tipo de documento: Article