4 December 1998 Automatic recognition of targets from hyperspectra images
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Abstract
In this paper, we present the formulation of the problem for recognition of targets from hyperspectra images. It is shown that conventional recognition techniques may be extended to hyperspectra images for the distribution process. It is also shown that the recognition process is directly proportional to the number of multispectra frames that represent each target. For the discrimination process we propose a parametric and a nonparametric process in which both are extensions to Fisher and Fukunaga-Mantock methods respectively. Examples that show the composition of hyperspectra features are presented.
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George A. Lampropoulos, Yifeng Li, James F. Boulter, "Automatic recognition of targets from hyperspectra images", Proc. SPIE 3491, 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications, (4 December 1998); doi: 10.1117/12.328677; https://doi.org/10.1117/12.328677
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