{'fraction_non_alphanumeric': 0.014625228519195612, 'fraction_numerical': 0.0, 'mean_word_length': 5.447058823529412, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
SAR imagery classification: the fractal approach

The operational and applicative contribute of Synthetic Aperture Radar (SAR) imagery is heavily affected by the possibility to extract some desired features. In this paper we consider such a problem on a new perspective based on the fractal approach. The fractal approach to SAR imagery classification seems to be very promising tool but still needs further clarifications. Different procedures are here discussed an compared, showing limits and potentials of such an intriguing mathematical tool.