Abstract
A method based on the analysis of fractal dimensions of airborne radar images is proposed to detect forests damages and to classify them by the origin. It includes creating of fractal index field of the image and analyzing of its histogram. Key components in the analysis of airborne microwave SAR images of vegetation are understanding of the fractal dimensions of the images parts and choosing of the range of variation of fractal dimensions for further image segmentation.
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