The effects of band-to-band misregistration on multi-spectral classification

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Abstract
Landsat-MSS data covering 636 ✗ 457 pixels with band-to-band rnisregistration was digitally analysed for assessing the effect of misregistration on classification accuracy of land use/landcover mapping. Raw MSS data with band-to-band misregistration was geometricaly corrected using GCPs and a polynominal transformation of the first order. Subsequently, both raw and geometrically corrected data were analysed on a DIPIX system using a Gaussian maximum likelihood algorithm. Results indicate a substantial degradation in the classification accuracy due to mixed pixels which have remained unclassified owing to misregistration between bandpairs.

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