Soft computing methods such as fuzzy control, neural networks, etc., often require lots of computations even for small amounts of data. It is, therefore, sometimes believed that for larger amounts of data, the required amount of computations will be so large that we will reach the frontiers of soft computing. In this paper, we show, on the example of hyperspectral satellite imaging, that this belief is often too pessimistic. We should not be afraid to use (or at least to try to use) soft computing methods even for large amounts of data. The problem: it looks like soft computing is approaching its frontiers Often, soft computing requires lots of computations. Soft computing methods such as fuzzy control, neural networks, etc., often require lots of computations even for small amounts of data: ffl When we use fuzzy control to describe a system with n input variables x 1 ; : : : ; xn , then, even if we only use 2 different levels of each variable, we will still need 2 n rules. Even ...