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.
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Stein, A. (2010). Fuzzy Methods in Image Mining. In: Jeansoulin, R., Papini, O., Prade, H., Schockaert, S. (eds) Methods for Handling Imperfect Spatial Information. Studies in Fuzziness and Soft Computing, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14755-5_10
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DOI: https://doi.org/10.1007/978-3-642-14755-5_10
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