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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5712820/ https://ncbi.nlm.nih.gov/pubmed/29104279 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17112506 |
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