Multimodular Architecture for Remote Sensing Operations.

Neural Information Processing Systems 

Because of the complexity of the application and the large amount of data, the problem cannot be solved by using a single method. The solution we propose is to build multi(cid:173) modules NN architectures where several NN cooperate together. Such system suffer from generic problem for whom we propose solutions. They allow to reach accurate performances for multi-valued function approximations and probability estimations. The results are compared with six other methods which have been used for this problem.