Hyperspectral imaging (HSI) sensors suffer from spatial misregistration, an artifact that prevents the accurate acquisition
of the spectra. Physical considerations let us assume that the influence of the spatial misregistration on the acquired data
depends both on the wavelength, and on the across-track position. A scene-based edge detection method is therefore
proposed. Such a procedure measures the variation on the spatial location of an edge between its various monochromatic
projections, giving estimation for spatial misregistration, and allowing also misalignments identification. The method has
been applied to several hyperspectral sensors, either prism, or grating-based designs. Results confirm the dependence
assumptions on &lgr; and &thgr;, spectral wavelength and across track pixel respectively. In order to correct for spatial
misregistration suggestions are also given.
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