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Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3234432
Abstract: The use of traditional compressed sensing methods in sparse aperture inverse synthetic aperture radar (SA-ISAR) imaging suffers from high computational burdens and complicated formula derivations. To solve these problems, a complex-valued autoencoder (CVAE) architecture trained…
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Keywords:
cvae efficient;
aperture;
training set;
isar imaging ... See more keywords