Corpus ID: 232146946

Pose Discrepancy Spatial Transformer Based Feature Disentangling for Partial Aspect Angles SAR Target Recognition

@article{Wen2021PoseDS,
  title={Pose Discrepancy Spatial Transformer Based Feature Disentangling for Partial Aspect Angles SAR Target Recognition},
  author={Zaidao Wen and Jiaxiang Liu and Zhunga Liu and Quan Pan},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.04329}
}
This letter presents a novel framework termed DistSTN for the task of synthetic aperture radar (SAR) automatic target recognition (ATR). In contrast to the conventional SAR ATR algorithms, DistSTN considers a more challenging practical scenario for non-cooperative targets whose aspect angles for training are incomplete and limited in a partial range while those of testing samples are unlimited. To address this issue, instead of learning the pose invariant features, DistSTN newly involves an… Expand

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