Data Fusion Service

Remotely sensed data provided information on Earth phenomena in different modalities, spectrally, spatially and temporally inhomogeneous. But all this set of data proposes different representations of the same physical environment. How to handle these different representations, how to extract the best of a combination of them? Data fusion is one of the answers to the best possible use of this set of remotely sensed data. Data fusion is becoming of paramount importance, in  Earth Observation. Data fusion is an approach oriented to information extraction adopted in several domains. It is  based on the synergetic exploitation of data originating from different sources. It aims to produce a better result than the one obtained by a separate exploitation of the same sources. This concept can be used in many applications such as obtaining underground water, detecting oil spill, investigating red tide phenomenon, etc.