Azimuth Superresolution of Forward-Looking Radar Imaging Based on Improved Total Variation
暂无分享,去创建一个
[1] Jianyu Yang,et al. A Sparse Bayesian Approach for Forward-Looking Superresolution Radar Imaging , 2017, Sensors.
[2] M. A. Richards. Iterative noncoherent angular superresolution (radar) , 1988, Proceedings of the 1988 IEEE National Radar Conference.
[3] Jian-Feng Cai,et al. Split Bregman Methods and Frame Based Image Restoration , 2009, Multiscale Model. Simul..
[4] Jianyu Yang,et al. A truncated singular value decomposition method for angular super-resolution in scanning radar , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[5] Yongchao Zhang,et al. Azimuth Superresolution of Forward-Looking Radar Imaging Which Relies on Linearized Bregman , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[6] Josiane Zerubia,et al. Richardson–Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution , 2006, Microscopy research and technique.
[7] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[8] Jianyu Yang,et al. Super-Resolution Surface Mapping for Scanning Radar: Inverse Filtering Based on the Fast Iterative Adaptive Approach , 2018, IEEE Transactions on Geoscience and Remote Sensing.