A spectral target recognition technique has been developed that detects targets in hyperspectral images in real time. The
technique is based on the configuration of a radial basis neural network filter that is specific for a particular target
spectral signature or series of target spectral signatures. Detection of targets in actual 36-band CASI, and 210-band
HYDICE images is compared to existing recognition techniques and results in considerable reduction in overall image
processing time and greater accuracy than existing spectral processing algorithms.