MOSER , G.

This paper describes a method dedicated to multi-resolution, multi-date and eventually multi-sensor classification based on explicit statistical modeling through hierarchical Markov random field modeling based on quad-Tree. The proposed approach consists in a supervised Bayesian classifier that combines a joint class-conditional statistical...

Classification of remotely sensed images into land cover or land use is highly dependent on geographical information at least at two levels. First, land cover classes are observed in a spatially smooth domain separated by sharp region boundaries. Second, land classes and observation scale are also tightly intertwined: they tend to be consistent...

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