{'fraction_non_alphanumeric': 0.02178217821782178, 'fraction_numerical': 0.0, 'mean_word_length': 5.023809523809524, '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}}
Semi-Automated Extraction of Human Settlement Extent in HR SAR Images

In this paper a novel method, based on autocorrelation indexes and gray-level co-occurence matrix, for the extraction of urban areas in high resolution SAR images, is presented. It strongly reduces human interpreters' intervention thanks to a high degree of automation within the processing chain and allows a fast and accurate generation of built-up area maps, which can be employed for land mapping and support in relief operations.