Complex-valued Convolutional Neural Network Enhanced Radar Imaging
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[1] Lu Wang,et al. The Race to Improve Radar Imagery: An overview of recent progress in statistical sparsity-based techniques , 2016, IEEE Signal Processing Magazine.
[2] Lu Wang,et al. Sparse Representation-Based ISAR Imaging Using Markov Random Fields , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[3] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[4] Michael P. Friedlander,et al. Probing the Pareto Frontier for Basis Pursuit Solutions , 2008, SIAM J. Sci. Comput..
[5] Xiang Li,et al. Fast Three-Dimensional Image Reconstruction of a Standoff Screening System in the Terahertz Regime , 2018, IEEE Transactions on Terahertz Science and Technology.
[6] Yachao Li,et al. Bayesian Inverse Synthetic Aperture Radar Imaging , 2011, IEEE Geoscience and Remote Sensing Letters.
[7] Kush R. Varshney,et al. Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing , 2014, IEEE Signal Processing Magazine.
[8] Haipeng Wang,et al. Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[9] Xiang Li,et al. Autofocusing for Sparse Aperture ISAR Imaging Based on Joint Constraint of Sparsity and Minimum Entropy , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[10] Xiang Li,et al. Terahertz Wide-Angle Imaging and Analysis on Plane-wave Criteria Based on Inverse Synthetic Aperture Techniques , 2016 .
[11] Sandeep Subramanian,et al. Deep Complex Networks , 2017, ICLR.