Learning From Reliable Unlabeled Samples for Semi-Supervised SAR ATR
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3197892
Abstract: Synthetic aperture radar automatic target recognition (SAR ATR) has been suffering from the insufficient labeled samples as the annotation of SAR data is time-consuming. Thus, adding unlabeled samples into training has attracted the attention of… read more here.
Keywords: supervised sar; semi supervised; unlabeled samples; sar atr ... See more keywords
Self-Supervised SAR Despeckling by Integrating Denoiser Prior With Attributed Scattering Center
Sign Up to like & getrecommendations! Published in 2026 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3637133
Abstract: Deep learning has become the mainstream approach for synthetic aperture radar (SAR) image despeckling. However, the lack of speckle-free SAR images poses a significant challenge for supervised deep learning methods. To overcome this limitation, we… read more here.
Keywords: self supervised; attributed scattering; sar despeckling; supervised sar ... See more keywords