The onboard acquisition instruments of MS and Pan, sharing the same optics, cannot have parallel axes, but there is a small angle in the orbit plane. The accuracy of the geometric correction depends by the DEM used, and if the latter is too coarse with respect to the pixel size, a residual misalignment survives. A multivariate linear regression between the low-pass filtered Pan and the interpolated MS bands can be exploited to model the spectral and spatial relationships among the different channels. The pixel varying residue is a measure of the local mismatch and will be used to correct the interpolated MS bands after being multiplied by the contrast-based injection gains.

Automatic fine alignment of multispectral and panchromatic images

Arienzo A;Aiazzi B;
2020

Abstract

The onboard acquisition instruments of MS and Pan, sharing the same optics, cannot have parallel axes, but there is a small angle in the orbit plane. The accuracy of the geometric correction depends by the DEM used, and if the latter is too coarse with respect to the pixel size, a residual misalignment survives. A multivariate linear regression between the low-pass filtered Pan and the interpolated MS bands can be exploited to model the spectral and spatial relationships among the different channels. The pixel varying residue is a measure of the local mismatch and will be used to correct the interpolated MS bands after being multiplied by the contrast-based injection gains.
2020
Istituto di Fisica Applicata - IFAC
geometric correction
residual misalignment
onboard acquisition systems
multivariate linear regression
local mismatch
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/390953
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