Abstract
In this paper we present methods to analyze, restore and compose multi-sensor hyper (or multi)-spectra images. For the composite multi-sensor and/or hyper (or multi)-spectra image the Karhunen-Loève (K-L) and Gram-Schmidt (G-S) orthogonalization techniques are used in combination with blur estimation and 3-D restoration methods. For the motion estimation or target detection in a set of two frames of the same spectral band the G-S orthogonalization is used. Results from real data from satellite images are presented.
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© 1997 Springer Science+Business Media New York
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Lampropoulos, G.A., Boulter, J.F. (1997). Hyper-Spectra Space-Based Infrared Image Restoration and Composition. In: Lampropoulos, G.A., Lessard, R.A. (eds) Applications of Photonic Technology 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9250-8_104
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DOI: https://doi.org/10.1007/978-1-4757-9250-8_104
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