Multiple-class Land Cover Mapping at the Sub-pixel Scale using an Innovated CA Model

This paper has put forward an innovated CA model to sub-pixel mapping. It has the advantage of easily constructing the rules of CA and the potential for controlling the spatial scale in sub-pixel mapping freely. The neural networks have played an important role in the whole work.