Detection involves locating all candidate regions of interest (objects
) in a scene independent of the object class with object distortions a
nd contrast differences, etc., present, It is one of the most formidab
le problems in automatic target recognition, since it involves analysi
s of every local scene region, We consider new detection algorithms an
d the fusion of their outputs to reduce the probability of false alarm
P-FA while maintaining high probability of detection P-D. Emphasis is
given to detecting obscured targets in infrared imagery.