Hyper-Spectra Space-Based Infrared Image Restoration and Composition
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.
KeywordsSpectral Band Spectrum Image Restoration Method IEEE Signal Processing Magazine Orthogonal Image
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