Hyperspectral image Target Detection based on Sparse Representation
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Updated
Sep 3, 2018 - MATLAB
Hyperspectral image Target Detection based on Sparse Representation
A Bayesian method which utilises the rich structure embedded in the sensing matrix for fast sparse signal recovery
Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.
Adaptive techniques to estimate graph signals
Sparse and Dense 3D Reconstruction
Camera Calibration, 2-view sparse reconstruction, Multi View Traingulation
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