Application of Visual Data Mining for Earth Observation Use Cases

Abstract

This paper presents an application of visual data mining technique to Earth-Observation images for exploring very large image archives. We present a visual data mining workstation solution and create some use cases in order to demonstrate its functionality. This tool allows interactive exploration and analysis of very large, high complexity, and non-visual data sets stored into a database by using human-machine communication. The tool relies on image processing components that transform the image content to primitive feature vectors and a graphical user interface, which allows the exploration of the entire image archive. The use cases are based on Synthetic Aperture Radar images, digital orthophotos and photos in-situ