Training SAR-ATR Models for Reliable Operation in Open-World Environments
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3068944
Abstract: Training deep learning-based synthetic aperture radar automatic target recognition (SAR-ATR) systems for use in an “open-world” operating environment has, thus far proven difficult. Most SAR-ATR systems are designed to achieve maximum accuracy for a limited… read more here.
Keywords: training; sar atr; detection; open world ... See more keywords
Global in Local: A Convolutional Transformer for SAR ATR FSL
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3183467
Abstract: Convolutional neural networks (CNNs) have dominated the synthetic aperture radar (SAR) automatic target recognition (ATR) for years. However, under limited SAR images, the width and depth of the CNN-based models are limited, and the widening… read more here.
Keywords: sar atr; atr fsl; convolutional transformer; sar ... See more keywords
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
Discovering and Explaining the Noncausality of Deep Learning in SAR ATR
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3266493
Abstract: In recent years, deep learning has been widely used in synthetic aperture radar (SAR) automatic target recognition (ATR) and achieved excellent performance on the moving and stationary target acquisition and recognition (MSTAR) dataset. However, due… read more here.
Keywords: clutter; deep learning; noncausality deep; sar atr ... See more keywords