24 September 2007 Real-time detection of targets in hyperspectral images using radial basis neural network filtering
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Abstract
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.
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Tom Thomas, Tom Thomas, M. Serkan Ozkan, M. Serkan Ozkan, } "Real-time detection of targets in hyperspectral images using radial basis neural network filtering", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960E (24 September 2007); doi: 10.1117/12.732523; https://doi.org/10.1117/12.732523
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