Visual Learning Systems (VLS), is broadening its solution base to include mining information from large image databases. The National Science Foundation (NSF) has awarded VLS a Small Business Innovative Research (SBIR) Award to solve this task. The task of data mining is discovering new, relevant, and exciting information from a large body of knowledge. For image databases, however, this information is currently unavailable to the GIS analyst because it is trapped in the imagery. To unleash this information, features such as road networks need to be extracted from the image pixels.
Feature Analyst provides the first viable solution for automatically extracting features from imagery. With this SBIR Award, VLS is developing a tool that will combine Feature Analyst technology with image data mining. GIS databases are rapidly growing and frequently include large arrays of digitital imagery. This new tool, will allow organizations to leverage their image databases in new and exciting ways. Potential applications include scientific research, environmental modeling, local government planning, and federal government security programs.