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Improved SAR Imaging Via Cross-Learning from Camera Images

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arxiv 2004.06749 v1 pith:6TVNMM4H submitted 2020-04-14 eess.SP eess.IV

classification eess.SPeess.IV
keywords imagescameraconceptcross-learningabstractionapproachapproachescompare
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In this paper, we propose a novel concept of cross-learning, in order to improve SAR images by learning from the camera images. We use a multi-level abstraction approach to materialise knowledge transfer between the two modalities. We also compare the performance of other possible approaches. We provide experimental results on real data to validate the proposed concept.

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