{'fraction_non_alphanumeric': 0.025210084033613446, 'fraction_numerical': 0.0, 'mean_word_length': 5.144329896907217, '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}}
Multitemporal and/or Polarimetric SAR Characterization of Urban Areas

Polarimetric SAR data sets have shown their potential for detecting built-up areas and discriminating their different types. In this paper a study is performed on the combination of polarimetric SAR data from different sensors at different bands and different times, for detection and discrimination of urban areas. The considered data set includes SAR data from ERS, RADARSAT and SIR-C/X-SAR missions, sensed over the town of Pavia, northern Italy, a location on which we have detailed, good-quality ground truth available.