Remote Sensing Image Classification Based on Gray System Theory

The intelligence and automation of image processing and analysis is a bottle problem for photogrammetry and remote sensing. Artificial neural networks is a new solver which imitates brain and gray system theory is a new tool which handles undetermined problem. This paper describe how to combine artificial neural networks with gray system theory to realize classification of remote sensing image . This method can improve the accuracy and effect of traditional classification. The experiments demonstrate the method and give satisfactory results. Keyword Remote Sensing, Classification, Artificial neural networks, Gray system theory.