Combining the best filtres to decipher the invisible


Satellite images make it possible to reveal land occupation information that is invisible to the human eye. Their analysis is carried out by choosing adequate filters manually, but combining them is so complex that the process rapidly becomes inaccessible, even to an experienced operator. Using an original statistical learning method, this choice can be performed by an algorithm.