Multi-frame super-resolution reconstruction of small moving objects

Performance study on point target detection using super-resolution reconstruction

Robust super-resolution by minimizing a gaussian-weighted L2 error norm

Robust super-resolution without regularization

Super-resolution on small moving objects

Super-resolution reconstruction for maving point target detection

Super-resolution on moving objects using a polygon-based object description

Performance evaluation of super-resolution reconstruction methods on real-world data

Robust Fusion of irregularly sampled data using adaptive normalized convoltion

Super-resolution on moving objects and background

Super-resolution on moving objects and background

Resolution enhancement of low quality videos using a high-resolution frame

Performance of optimal registration estimators

Robust fusion of irregularly sampled data using adative normalized convolution

Influence of signal-to-noise ratio and point spread function on limits of super-resolution

Fusion of polarimetric infrared features and GPR features for landmine detection

Feature level fusion of polarimetric infrared and GPR data for landmine detection

Processing of polarimetric infrared images for landmine detection

Comparison of vehicle-mounted forward-looking polarimetric infrared and downward-looking infrared sensors for landmine detection

Fusion of polarimetric infrared features and GPR features for landmine detection