Space-based infrared system is an importance component of defense system. There are several difficult in detecting the
midcourse target. Firstly the radiation of target is quit low. Secondly, the radiation of star field and upper atmosphere
interact on the infrared image. A new algorithm for Air-to-space multi-band IR imagery is presented. The principal
component analysis (PCA) is adapted to estimate the background endmembers. A filter weight vector is obtained based
on least square criterion. Some computer simulations on two-dimensional infrared image are presented. The target is
detectable at the signal-to-clutter ratio of -3dB in real time. Computer simulation results demonstrate that the proposed
algorithm is smart and efficient.
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