Two-Stage Multi-Task Representation Learning for Synthetic Aperture Radar (SAR) Target Images Classification

In this paper, we propose a two-stage multi-task learning representation method for the classification of synthetic aperture radar (SAR) target images. The first stage of the proposed approach uses multi-features joint sparse representation learning, modeled as a [Formula: see text]-norm regularized...

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Detalles Bibliográficos
Autores principales: Zhang, Xinzheng, Wang, Yijian, Tan, Zhiying, Li, Dong, Liu, Shujun, Wang, Tao, Li, Yongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712820/
https://www.ncbi.nlm.nih.gov/pubmed/29104279
http://dx.doi.org/10.3390/s17112506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712820/
https://www.ncbi.nlm.nih.gov/pubmed/29104279
http://dx.doi.org/10.3390/s17112506

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