Ap. Tzannes et Dh. Brooks, Paint target detection in IR image sequences: a hypothesis-testing approach based on target and clutter temporal profile modeling, OPT ENG, 39(8), 2000, pp. 2270-2278
We approach the problem of point target detection in infrared image sequenc
es by modeling the temporal behavior of clutter and targets on a single-pix
el basis. These models, which are experimentally verified, are then used to
develop a temporal likelihood-ratio test and derive the corresponding deci
sion rule. We demonstrate the effectiveness of the technique by applying it
to real infrared image sequences containing targets of opportunity and evo
lving cloud clutter. The physical models and resulting hypothesis-testing a
pproach could also be applicable to other image-sequence-processing scenari
os, using acquisition systems besides infrared imaging, such as the detecti
on of small moving objects or structures in a biomedical or biological imag
ing scenario, or the detection of satellites, meteors, or other celestial b
odies in night-sky imagery acquired using a telescope. (C) 2000 Society of
Photo-Optical Instrumentation Engineers. [S0091-3286(00)03108-1].