Abstract: We propose an sparse Bayesian learning (SBL)based method that leverages group sparsity and multiple parameterized dictionaries to detect the relevant dictionary entries and estimate their ...
Abstract: Due to the differences in imaging mechanisms and nonlinear radiation distortion (NRD) between images of different modalities, multimodal image matching methods encounter challenges in ...
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