{'fraction_non_alphanumeric': 0.025404157043879907, 'fraction_numerical': 0.0, 'mean_word_length': 5.2898550724637685, '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}}
A level-based method for urban mapping using multitemporal SAR data

In this paper, we propose a level-set based method to identify urban areas using multitemporal Synthetic Aperture Radar (SAR) data. Our method is compared to the standard method, called the Otsu's threshold-based method. The experimental results indicate significant improvement in terms of the Kappa coefficients and the percentage of correctly classified pixels.