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 reconstruction for maving point target detection

Super-resolution on small moving objects

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

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

Super-resolution on moving objects and background

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

Robust Fusion of irregularly sampled data using adaptive normalized convoltion

Super-resolution on moving objects and background

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

Detectability of surface-laid landmines with a polarimetric IR sensor

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

Fusion of polarimetric infrared features and GPR features for landmine detection

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

Processing of polarimetric infrared images for landmine detection