Kvisimine applied to problems in geographical information system

Images are highly complex multidimensional signals, with rich and complicated information content in geographical information system. For this reason they are difficult to analyze through a unique automated approach. However a KVISIMINE scheme is helpful for the understanding of image content and data content. In this paper, describes an application K-MEAN clustering algorithm and image information mining for exploration of image information and large volumes data. Geographical Information System, is any system that captures, stores, analyzes, manages, and presents data that are linked to location. Technically, a GIS is a system that includes mapping software and its application to remote sensing, land surveying, aerial photography, mathematics, geography, and tools that can be implemented with GIS software Building a GIS is a fruitful area if one likes the challenge of having difficult technical problems to solve. Some problems have been solved in other technologies such as CAD or database management. However, GIS throws up new demands, therefore requiring new solutions. In this paper we have examine difficult problems, and to be solved and gives some indication of the state of the art of current solutions.