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Corresponding pixel automated matcher (CPAM) and application to analysis of hyperspectral data variability

In order to produce validated, and therefore reliable, products based on hyperspectral imagery, it is necessary to first characterise the data quality itself. Since hyperspectral airborne imagery is usually acquired in several partially overlapping flight-lines [1], one can use this informationredundancy to retrieve the imagery uncertainty. In this paper, a generic algorithm, the corresponding pixel automated matcher (CPAM) allowing to extract pixels from two overlapping flight-lines corresponding to the same geo-location is proposed. In a second time, these results are used to obtain a quantification of the imagery internal variability as well as for producing quality indicators for land-products.