Fuzzy methods in image mining

Abstract

This paper presents the use of soft methods in image mining. Image mining considers the chain from object identification on natural or man-made processes from remote sensing images through modelling, tracking on a series of images and prediction, towards communication to stakeholders. Attention is given to image mining for vague and uncertain objects. Aspects of up- and downscaling are addressed. We further consider in this paper both spatial interpolation and decision making. The paper is illustrated with several case studies. © 2010 Springer-Verlag Berlin Heidelberg.