Making and Re ning Qualitative Interpretation for Spectral Images
نویسندگان
چکیده
Traditionally, interpreting spectral images is a problem of quantitative analyses which requires comparing known patterns with input images to identify which patterns may be contained by the images. Because spectral image data are always inaccurate, it is very hard to get highly correct interpretation by only using quantitative analyses. In this paper, we present a method of interpreting spectral images by using qualitative reasoning. First, on the basis of qualitative features of spectral images and e ects among data(called qualitative connections among data), partial components that may be contained by input images are identi ed. Then, the identi ed partial components are re ned by a subjective probabilistic approach. The method has been applied to a practical system for infrared spectral image interpretation, and the system has been fully tested against several hundred real spectral images.
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