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

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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 ℓ 2 , 1 -norm regularized multi-task sparse learning problem, to find an effective subset of training samples. Then, a new dictionary...

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ژورنال

عنوان ژورنال: Sensors

سال: 2017

ISSN: 1424-8220

DOI: 10.3390/s17112506