Parallel software implementation of recursive multidimensional digital filters for point-target detection in cluttered infrared scenes

摘要

A technique for the enhancement of point targets in clutter is described. Thelocal 3-D spectrum at each pixel is estimated recursively. An opticalflow-field for the textured background is then generated using the 3-Dautocorrelation function and the local velocity estimates are used to applyhigh-pass velocity-selective spatiotemporal filters, with finite impulseresponses (FIRs), to subtract the background clutter signal, leaving theforeground target signal, plus noise. Parallel software implementations using amulticore central processing unit (CPU) and a graphical processing unit (GPU)are investigated.