Defective Pixel Detection and Correction in Prisma Hyperspectral Data

We present a new strategy to identify bad pixels in hyperspectral pushbroom sensors and to replace the inaccurate radiance values with estimates derived from spectral and spatial analysis. The proposed method is quite effective to correct spaceborne hyperspectral data where the regular calibration of the instrument is more complex than in airborne applications. In this paper we discuss the results obtained on images acquired by the PRISMA hyperspectral instrument operated by the Italian Space Agency (ASI). These preliminary results show the effectiveness of the proposed strategy both in detecting even subtle sources of fixed pattern noise, otherwise undetectable using visual inspection of a single spectral band, and in accurately reconstructing the missing radiance values.