Analysis and rejection of systematic disturbances in hyperspectral remotely sensed images of the Earth

We discuss the appearance of systematic spatial and spectral patterns of no ise in remotely sensed images as well as the possibility of mitigating the effects of these patterns on the data. We describe the structure of two sim ple theoretical models that predict the appearance of patterns of noise (ma inly stripe noise). Moreover, two new algorithms that have been specificall y developed to mitigate the noise patterns are described. The performance o f the two algorithms is assessed by use of some hyperspectral images acquir ed by different kinds of airborne sensor. The algorithms show an unexpected ability to reject these noise patterns. (C) 2001 Optical Society of Americ a.